STRUCTURE OF THE C-TERMINAL REGION OF THE INSULIN RECEPTOR a-CHAIN AND OF THE INSULIN-LIKE GROWTH FACTOR RECEPTOR a-CHAIN

ABSTRACT

The present invention relates generally to structural studies of the insulin binding site of the insulin receptor (IR) and the insulin-like growth factor 1 receptor (IGF-1R). More particularly, the present invention relates to the crystal structure of the low affinity insulin binding site of the IR ectodomain comprising the C-terminal region of the IR α-chain, as well as the corresponding region of IGF-1R, and to methods of using the crystal and related structural information to screen for and design compounds that interact with or modulate the function of IR and/or IGF-1R.

FIELD OF THE INVENTION

The present invention relates generally to structural studies of the insulin binding site of the insulin receptor (IR) and the insulin-like growth factor 1 receptor (IGF-1R). More particularly, the present invention relates to the crystal structure of the low affinity insulin binding site of the IR ectodomain comprising the C-terminal region of the IR α-chain, as well as the corresponding region of IGF-1R, and to methods of using the crystal and related structural information to screen for and design compounds that interact with or modulate the function of IR and/or IGF-1R.

BACKGROUND TO THE INVENTION

The insulin receptor (IR) and its homologue the type 1 insulin-like growth factor 1 receptor (IGF-1R), are closely related members of the tyrosine kinase receptor family and are large, transmembrane, glycoprotein dimers consisting of several structural domains.

The key role of the insulin receptor (IR) is in glucose uptake and metabolism by muscle and fat. Mouse knockout studies have also shown IR to be important in adipogenesis, neovascularization, the regulation of hepatic glucose synthesis and glucose-induced pancreatic insulin secretion (Kitamura et al., 2003). IR signalling is also important in the brain, being involved in the regulation of food intake, peripheral fat deposition and the reproductive endocrine axis as well as in learning and memory (Wada et al., 2005). Dysfunctional IR signalling has been implicated in diseases including, type I and type II diabetes, dementia and cancer.

IR exists as two splice variant isoforms, IR-A and IR-B, which respectively lack or contain the 12 amino acids coded by exon 11. The longer variant, IR-B, is the isoform responsible for signalling metabolic responses. In contrast, IR-A signals predominantly mitogenic responses, is the preferentially expressed isoform in several cancers (Denley et al., 2003) and is capable of binding insulin-like growth factor 2 (IGF-II) with high affinity (Denley et al., 2004).

The sequence of IR is highly homologous to the sequence of IGF-1R, indicating that the three-dimensional structures of both receptors are most likely closely similar. The mature human IR and IGF-1R molecules are each homodimers comprising two α-chains and two β-chains, the α- and β-chains arising from the post-translational cleavage at the furin cleavage site at residues 720-723 (IR-A numbering with the mature N-terminal residue numbered 1) or 707-710 (IGF-1R). The structural organization of IR and IGF-1R has been reviewed extensively (Adams et al., 2000; De Meyts and Whittaker, 2002; Ward et al., 2003; Lawrence et al., 2007; Ward and Lawrence, 2009). The sequence relationship and domain organization of these receptors are presented in FIG. 1.

The extracellular part of each IR or IGF-1R monomer contains (sequentially from N- to C-terminus) a leucine-rich repeat domain (L1), a cysteine-rich region (CR) and a second leucine-rich repeat domain (L2), followed by three fibronectin type III domains, (FnIII-1, -2 and -3). The FnIII-2 domain contains a large insert domain (ID) of approximately 120 residues, within which lies the α-βcleavage site. Intracellularly, each monomer contains a tyrosine kinase catalytic domain flanked by two regulatory regions that contain the phosphotyrosine binding sites for signalling molecules. Each α-chain is linked to its partner β-chain via a disulphide bond between residues Cys647 and Cys860 (Sparrow et al., 1997) in the case of IR and/or Cys633-Cys849 in the case of IGF-1R. The α-chains of both IR and IGF-1R are cross-linked by disulphide bonds in two places. The first is at Cys524 (IR) or Cys514 (IGF-1R) in the FnIII-1 domain, cross-linked to its counterpart in the opposite monomer, and the second involves one or more of the residues Cys682, Cys683 and Cys685 (IR) or Cys669, Cys670 and Cys672 (IGF-1R) in the insert region of each FnIII-2 domain, cross-linked to their counterparts in the opposite monomer (Sparrow et al., 1997).

The domains of IR and IGF-1R exhibit high (47-67%) amino acid sequence identity indicative of high conservation of three-dimensional structure. The crystal structure of the first three domains of IGF-1R (L1-CR-L2) has been determined (Garrett et al., 1998) and revealed that the L domains consist of a single-stranded right-handed β-helix (a helical arrangement of β-strands), while the cysteine-rich region is composed of eight related disulfide-bonded modules. The crystal structure of the first three domains of IR (L1-CR-L2) has also been determined (WO 07/147,213; Lou et al., 2006) and as anticipated is closely similar to that of its IGF-1R counterpart. Other evidence for the close structural similarity of IR and IGF-1R arises from: (i) electron microscopic analyses (Tulloch et al., 1999), (ii) the fact that hybrid receptors (heterodimers of one IR monomer disulphide-bonded to one of IGF-1R monomer) exist naturally and are commonly found in tissues expressing both receptors (Bailyes et al., 1997), and (iii) the fact that receptor chimeras can be constructed which have whole domains or smaller segments of polypeptide from one receptor replaced by the corresponding domain or sequence from the other (reviewed in Adams et al., 2000).

The current model for insulin binding proposes that, in the basal state, the IR homodimer contains two identical pairs of binding sites (referred to as Site 1 and Site 2) on each monomer (De Meyts and Whittaker, 2002; Schäffer, 1994; De Meyts, 1994; De Meyts, 2004; Kiselyov et al., 2009). Binding of insulin to a low affinity site (Site 1) on one α-subunit is followed by a second binding event between the bound insulin and a different region of the second IR α-subunit (Site 2). This ligand-mediated bridging between the two α-subunits generates the high affinity state that results in signal transduction. In contrast, soluble IR ectodomain, which is not tethered at its C-terminus, cannot generate the high affinity receptor-ligand complex. The soluble IR ectodomain can bind two molecules of insulin simultaneously at its two Site 1 s, but only with low affinity (Adams et al., 2000). The model for IGF-I or IGF-II binding to IGF-1R is the same as that just described for insulin binding to IR and involves IGF-I (or IGF-II) binding to an initial low affinity site (Site 1) and subsequent cross-linking to a second site (Site 2) on the opposite monomer to form the high affinity state, as described for the IR. However, the values of the kinetic parameters describing these events are somewhat different in the two systems (Surinya et al., 2008; Kiselyov et al., 2009).

While similar in structure, IGF-1R and IR serve different physiological functions. IGF-1R is expressed in almost all normal adult tissue except for liver; which is itself the major site of IGF-I production (Buttel et al., 1999). A variety of signalling pathways are activated following binding of IGF-I or IGF-II to IGF-1R, including Src and Ras, as well as downstream pathways, such as the MAP kinase cascade and the P13K/AKT axis (Chow et al., 1-998). IR is primarily involved in metabolic functions whereas IGF-1R mediates growth and differentiation. Consistent with this, ablation of IGF-I (i.e. in IGF-I knock-out mice) results in embryonic growth deficiency, impaired postnatal growth, and infertility. In addition, IGF-1R knock-out mice were only 45% of normal size and died of respiratory failure at birth (Liu et al., 1993). However, both insulin and IGF-I can induce both mitogenic and metabolic effects.

Various non-crystallographic 3-D structural analyses of the IR and the interaction of insulin with the IR have been undertaken using electron microscopic techniques (Luo et al., 1999; Ottensmeyer et al., 2000, 2001; Yip and Ottensmeyer, 2001). However, due to the low resolution information obtained (>20 angstrom), the conclusions of these studies have been questioned (De Meyts and Whittaker, 2002).

Crystal structures of the ectodomain of IR have been presented previously (WO 07/147,213, McKern et al., 2006; Lou et al., 2006) and have elucidated some potential ligand/IR interactions, in particular part of the low affinity site on the surface of IR L 1. However, an area of ambiguous electron density on the surface of the IR L1 domain could not be resolved (WO 07/147,213, McKern et al., 2006). Accordingly, there is a need in the art to more fully resolve the structures of both IR and IGF-1R in order to elucidate all potential ligand/receptor interactions. This information would provide a more complete understanding of the mechanisms of action of both IR and IGF-1R necessary for the development of IR and IGF-1R agonists/antagonists.

SUMMARY OF THE INVENTION

The present inventors have determined the crystal structure of the low affinity insulin binding site of human IR. In particular, the crystal structure of the low affinity insulin binding site of human IR ectodomain comprising the C-terminal region of the insulin receptor α-chain has been determined. This structure allows visualisation, for the first time, of the intact low affinity insulin receptor binding site region controlling the initial binding of insulin and the subsequent formation of the high affinity insulin-IR complex that leads to signal transduction. The structure shows, for the first time, the way in which the C-terminal region of the insulin receptor α-chain associates with the first leucine-rich repeat (L1) domain of the receptor to form the complete low affinity insulin binding site. The structure also provides direct insight, for the first time, into the way the so-called Site 1 insulin mimetic peptides bind to the low affinity binding site of the insulin receptor and also provides a basis for designing insulin mimetic peptides that interact with the low affinity insulin binding site of IR. The structural information presented also indicates, by analogy, the corresponding regions in the closely related IGF-1R that are involved in insulin growth factor (IGF) binding.

The identification of molecular structures having a high degree of specificity for only one of IR or IGF-1R is important in the development of efficacious and safe therapeutics. For example, a molecule developed as an insulin agonist should have little or no IGF-I activity in order to avoid the mitogenic activity of IGF-I and a potential for facilitating neoplastic growth. The determination of which regions of IR and IGF-1R have sufficient differences to confer selectivity for their respective ligands or for therapeutic molecules such as chemical entities or biological reagents is therefore an important and significant advancement. Similarly, it is believed that the ability to be able to identify molecular structures that mimic the active binding regions of insulin and/or IGF-I and which impart selective agonist or antagonist activity will also aid and advance the development of new drugs.

To assist in the design of agonists/antagonists of IR and/or IGF-1R, the present inventors have used the structure of human IR ectodomain comprising the C-terminal region of the insulin receptor α-chain (Appendix I) to place a model of the C-terminal region of the insulin receptor α-chain in the 3D structure of IGF-1R ectodomain (Appendix II). The present inventors have also used these models to place a model of the C-terminal region of the IGF-1R α-chain in the 3D structure of IR ectodomain and IGF-1R ectodomain (Appendixes III and IV, respectively). The present inventors used all of these structures to place a model of an insulin mimetic peptide (S519C16) in the binding site of IR and IGF-1R (Appendixes V and VI, respectively). The models, with coordinates in Appendixes II to VI, are oriented relative to atomic coordinates found in Appendix I and may be used in conjunction with atomic coordinates of Appendix I to design a compound which binds to the insulin binding site of IR and/or a compound which binds to the IGF binding site of IGF-1R.

With regards to defining structures by combining subsets of coordinates from Appendix I to Appendix VI, such combinations may be achieved by methods such as assembling combinations of complete domains from each set, assembling combinations of complete domains from each set wherein the coordinates and corresponding amino acid sequence from one structure are transposed onto thoseof the other, refining less resolved regions of one crystal using the corresponding coordinates of the other.

Accordingly, the present invention provides a method of identifying, designing or screening for a compound that can potentially interact with insulin receptor (IR) and/or insulin-like growth factor-1 receptor (IGF-1R), comprising performing structure-based identification, design or screening of a compound based on the compound's interactions with a structure defined by the atomic coordinates of one or more of Appendixes I to VI, or a subset of atomic coordinates of one or more thereof at least representing the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R.

In one embodiment, the method comprises identifying, designing or screening for a compound which interacts with the three-dimensional structure of (i) the low affinity insulin binding site of IR, the structure being defined by the atomic coordinates shown in one or more of Appendixes I, III and V, and/or (ii) the low affinity insulin-like growth factor (IGF) binding site of IGF-1R, the structure being defined by the atomic coordinates shown in one or more of Appendixes II, IV and VI, wherein interaction of the compound with the structure is favoured energetically.

In another embodiment, the method further comprises synthesising or obtaining an identified or designed candidate compound and determining the ability of the candidate compound to interact with IR and/or IGF-1R.

In a further embodiment, the atomic coordinates define one or more regions of the low affinity binding site of IR for insulin, and/or the low affinity binding site of IGF-1R for IGF, comprising the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R.

In a particularly preferred embodiment, the C-terminal region of the α-chain of IR comprise's amino acids 693 to 710 of IR α-chain (SEQ ID NO: 13).

In another preferred embodiment, the atomic coordinates defining the low affinity insulin binding site of IR further comprise the leucine-rich repeat 1 (L1) domain and/or the cysteine-rich (CR) domain of the IR ectodomain.

In yet another preferred embodiment, the atomic coordinates define portions of the molecular surface of the central β-sheet of the L1 domain and portions of the molecular surface of the second leucine-rich repeat (LRR) which contain Phe39 and/or the loop in the fourth LRR rung of the L1 domain.

In yet another preferred embodiment, the atomic coordinates define module 6 of the CR domain of IR.

In another embodiment, the atomic coordinates further define one or more amino acid sequences selected from IR amino acid residues 1-156, 157-310, 594 and 794.

In a preferred embodiment, the one or more amino acids selected from IR amino acid residues 1-156 comprise at least one amino acid selected from Arg14, Asn15, Gln34, Leu36, Leu37, Phe39, Pro43, Phe46, Leu62, Phe64, Leu87, Phe88, Phe89, Asn90, Phe96, Glu97, Arg118, Glu120 and His144.

In another embodiment, the one or more amino acids selected from IR amino acid residues 157-310 comprise at least one of the amino acid sequences selected from 192-310, 227-303 and 259-284.

The crystal structure of the first three domains of the ectodomain of IGF-1R has been previously reported (WO 99/028347). The crystal structure of the first three domains of the ectodomain of IR was subsequently reported (WO 07/147,213), enabling, for the first time, direct comparison of the regions controlling ligand specificity in the closely related IGF-1Rand IR. However, the structure of the intact low affinity insulin binding site (i.e. inclusive of the C-terminal region of the receptor α-chain) could not be elucidated. As will be evident to the skilled person, the findings presented here on the intact insulin binding site of IR ectodomain structure, shape and orientation can be transposed onto the IGF binding site of IGF-1R ectodomain structure, shape and orientation.

The present invention has enabled the identification of previously unrecognised regions of the insulin binding site of IR ectodomain. By analogy, the present invention also identifies the equivalent regions in the IGF-1R, given the structural organisation of domains in the two receptors is effectively the same. The present invention has identified the critical regions of IR involved in the binding of insulin and in mediating the subsequent formation of the high affinity insulin-IR complex that leads to signal transduction. Once again, it will be evident to the skilled person that these findings can be transposed onto IGF-1R.

The present invention is therefore also useful in the identification and/or design of compounds which bind to the low affinity IGF binding site of IGF-1R.

In one embodiment, the atomic coordinates defining one or more regions of the low affinity binding site of IGF-1R for IGF, comprise the C-terminal region of the α-chain of IGF-1R. In a preferred embodiment, the C-terminal region of the α-chain of IGF-1R comprises amino acids 681 to 697 of IGF-1R α-chain (SEQ ID NO 15).

In another embodiment, the atomic coordinates defining the low affinity IGF binding site of IGF-1R further comprise the L 1 domain and/or the CR domain of IGF-1R ectodomain.

In a preferred embodiment, the atomic coordinates define the central β-sheet of the L1 domain, and/or that part of the second LRR containing Ser35, and/or the loop in the fourth LRR rung of the L1 domain.

In another preferred embodiment, the atomic coordinates define module 6 of the CR domain of IGF-1R.

In one embodiment, the mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R is S519C16 (SEQ ID NO: 18).

In further embodiment, the compound substitutes for the C-terminal region of the α-chain of IR and/or the C-terminal region of the α-chain of IGF-1R in the formation of the low affinity binding site of IR or IGF-1R. Such compounds may act as either agonists or antagonists of these receptors. In one alternative of this embodiment, insulin and/or IGF-1R binds the low affinity binding site of IR and/or IGF-IR in the presence of the compound. In another alternative of this embodiment, insulin and/or IGF-1R does not bind, or has reduced binding to, the low affinity binding site of IR and/or IGF-1R in the presence of the compound.

In another embodiment, a candidate compound for interacting with IR and/or IGF-1R is chemically modified as a result of structure-based evaluation.

In a further embodiment, the chemical modification is designed to either:

i) reduce the potential for the candidate compound to bind to IR whilst maintaining binding to IGF-1R; or ii) reduce the potential for the candidate compound to bind to IGF-1R, whilst maintaining binding to IR.

Candidate compounds and compounds identified or designed using a method of the present invention may be any suitable compound, including naturally occurring compounds, de novo designed compounds, library generated compounds (chemically or recombinantly generated), mimetics etc., and include organic compounds, new chemical entities, antibodies, binding proteins other than antibody-based molecules (nonimmunoglobulin proteins) including, for example, protein scaffolds such as lipocalins, designed ankyrin repeat proteins (DARPins, Stumpp et al., 2007) and protein A domains (reviewed in Binz et al, 2005), avimers (Silverman et al., 2005), and other new biological entities such as nucleic acid aptamers (reviewed in Ulrich, 2006).

The present invention is also useful for improving the properties of known ligands for the low affinity binding sites of IR and/or IGF-1R. For example, existing IR or IGF-1R low affinity binding site ligands can be screened against the 3D structure of the insulin binding site of IR ectodomain or a region of the insulin binding site of IR ectodomain defined by the atomic coordinates of Appendix I or a portion thereof (optionally utilising the atomic coordinates given in Appendixes II to VI to further refine the screen and/or the assessment of the potential to energetically interact with IR), and an assessment made of the potential to energetically interact with the insulin binding site of IR.

Thus, the present invention also provides a method for, redesigning a compound which is known to bind to IR and/or IGF-1R comprising performing structure-based evaluation of the compound based on the compound's interactions with a structure defined by the atomic coordinates of one or more of Appendixes I to VI, or a subset of atomic coordinates of one or more thereof at least representing the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, and redesigning or chemically modifying the compound as a result of the evaluation.

In one embodiment, the compound which is known to bind to IR and/or IGF-1R is redesigned or chemically modified to (i) improve affinity for binding to IR, and/or (ii) lower affinity for binding to IGF-1R.

In another embodiment, the compound which is known to bind to IR and/or IGF-1R is redesigned or chemically modified to (i) improve affinity for binding to IGF-1R, and/or (ii) lower affinity for binding to IR.

When screening potential ligands or compounds for selectivity for binding to the insulin binding site of IR or IGF-1R, it will be important to concentrate on those areas of difference in the 3D structure between the low affinity binding site of ectodomains of IR and IGF-1R. Such areas are identified and described herein. In particular, it will be important to concentrate on those areas of difference which are identified as being potentially important in the binding of insulin to the receptors.

Accordingly, in a further embodiment the compound is redesigned or modified so as to lower the affinity to IR or IGF-1R by virtue of the structural differences between IR and IGF-1R at or in the vicinity of the C-terminal region of the α-chain of IR and the C-terminal region of the α-chain of IGF-1R.

The present invention also provides a computer system for identifying one or more compounds that can potentially interact with IR and/or IGF-1R, the system containing data representing the structure of: (i) the low affinity insulin binding site of IR, the structure being defined by the atomic coordinates shown in one or more of Appendixes I, III and V; (ii) the low affinity IGF binding site of IGF-1 R, the structure being defined by the atomic coordinates shown in one or more of Appendixes II, IV and VI; and/or (iii) the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, the structure being defined by a subset of atomic coordinates shown in one or more of Appendixes I to VI.

In another aspect, the present invention provides a computer-readable medium having recorded thereon data representing a model and/or the atomic coordinates as shown in one or more of Appendixes I to VI, or a subset of atomic coordinates of one or more thereof at least representing:

i) the C-terminal region of the α-chain of IR;

ii) the C-terminal region of the α-chain of IGF-1R; and/or

iii) a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, as any one of i) to iii) associates with IR and/or IGF-1R.

Also provided are a set of coordinates as shown in one or more of Appendixes I to VI, or a subset of atomic coordinates of one or more thereof at least representing:

i) the C-terminal region of the α-chain of IR;

ii) the C-terminal region of the α-chain of IGF-1R; and/or

iii) a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, as any one of i) to iii) associates with IR and/or IGF-1R.

The three-dimensional structure of the C-terminal region of the IR and/or IGF-1R α-chain may be used to develop models useful for drug design and/or in silico screening of candidate compounds that interact with and/or modulate IR and/or IGF-1R. Other physicochemical characteristics may also be used in developing the model, e.g. bonding, electrostatics, etc.

Generally the term “in silico” refers to the creation in a computer memory, i.e., on a silicon or other like chip. Stated otherwise “in silico” means “virtual”. When used herein the term “in silico” is intended to refer to screening methods based on the use of computer models rather than in vitro or in vivo experiments.

Accordingly, the present invention also provides a computer-assisted method of identifying a compound that potentially interacts with IR and/or IGF-1R, which method comprises fitting the structure of: (i) the low affinity insulin binding site of IR, the structure being defined by the atomic coordinates shown in one or more of Appendixes I, III and V; (ii) the low affinity IGF binding site of IGF-1R, the structure being defined by the atomic coordinates shown in one or more of Appendixes II, IV and VI; and/or (iii) the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, the structure being defined by a subset of atomic coordinates shown in one or more of Appendixes I to VI, to the structure of a candidate compound.

Also provided by the present invention is a computer-assisted method for identifying a compound able to interact with IR and/or IGF-1R using a programmed computer comprising a processor, which method comprises the steps of: (a) generating, using computer methods, a set of atomic coordinates of a structure that possesses energetically favourable interactions with the atomic coordinates of: (i) the low affinity insulin binding site of IR, the structure being defined by the atomic coordinates shown in one or more of Appendixes I, III and V; (ii) the low affinity IGF binding site of IGF-1R, the structure being defined by the atomic coordinates shown in one or more of Appendixes II, IV and VI; and/or (iii) the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, the structure being defined by a subset of atomic coordinates shown in one or more of Appendixes I to VI, which coordinates are entered into the computer thereby generating a criteria data set; (b) comparing, using the processor, the criteria data set to a computer database of chemical structures; (c) selecting from the database, using computer methods, chemical structures which are complementary or similar to a region of the criteria data set; and optionally, (d) outputting, to an output device, the selected chemical structures which are complementary to or similar to a region of the criteria data set.

The present invention further provides a computer-assisted method for identifying potential mimetics of IR and/or IGF-1R using a programmed computer comprising a processor, the method comprising the steps of: (a) generating a criteria data set from a set of atomic coordinates of: (i) the low affinity insulin binding site of IR, the structure being defined by the atomic coordinates shown in one or more of Appendixes I, III and V; (ii) the low affinity IGF binding site of IGF-1R, the structure being defined by the atomic coordinates shown in one or more of Appendixes II, IV and VI; and/or (iii) the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, the structure being defined by a subset of atomic coordinates shown in one or more of Appendixes I to VI, which coordinates are entered into the computer; (b) (i) comparing, using the processor, the criteria data set to a computer database of chemical structures stored in a computer data storage system and selecting from the database, using computer methods, chemical structures having a region that is structurally similar to the criteria data set; or (ii) constructing, using computer methods, a model of a chemical structure having a region that is structurally similar to the criteria data set; and, optionally, (c) outputting to an output device: (i) the selected chemical structures from step (b)(i) having a region similar to the criteria data set; or (ii) the constructed model from step (b)(ii).

The present invention further provides a method for evaluating the ability of a compound to interact with IR and/or IGF-1R, the method comprising the steps of: (a) employing computational means to perform a fitting operation between the compound and the binding surface of a computer model of the low affinity binding site for insulin on IR ectodomain, and/or the low affinity binding site for IGF on IGF-1 R ectodomain, using atomic coordinates wherein the root mean square deviation between the atomic coordinates and a subset of atomic coordinates of one or more of Appendixes I to VI or a subset of atomic coordinates of one or more thereof at least representing the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, is not more than 1.5 Å; and (b) analysing the results of the fitting operation to quantify the association between the compound and the binding surface model.

The present invention also provides a method of using molecular replacement to obtain structural information about a molecule or a molecular complex of unknown structure, comprising the steps of: (i) generating an X-ray diffraction pattern of the crystallized molecule or molecular complex; and (ii) applying the atomic coordinates of one or more of Appendixes I to VI, or a subset of atomic coordinates of one or more thereof at least representing the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, to the X-ray diffraction pattern to generate a three-dimensional electron density map of at least a region of the molecule or molecular complex whose structure is unknown.

The present invention provides a compound that binds to IR and/or IGF-1R ectodomain designed, redesigned or modified using the methods, of the invention. Preferably, such compounds have an affinity (K_(d)) for IR and/or IGF-1R of less than 10⁻⁵ M. In a particularly preferred embodiment, the compound binds to the low affinity binding site of IR and/or to the low affinity binding site of IGF-1R.

The present invention also provides an isolated peptide or mimetic thereof which binds the L1 domain of IR and/or the L1 domain of IGF-1R, the peptide comprising: (i) an amino acid sequence as provided in SEQ ID NO: 13 or SEQ ID NO: 15; (ii) an amino acid sequence which is at least 50% identical, more preferably at least 80% identical, more preferably at least 90% identical, more preferably at least 95% identical, to SEQ ID NO: 13 and/or SEQ ID NO: 15; or (iii) a fragment of i) or ii) which binds the L1 domain of IR and/or the L1 domain of IGF-1R, wherein the peptide has a helical structure.

Further provided is an isolated polynucleotide encoding the isolated peptide or mimetic thereof, as well as a vector comprising said polynucleotide and a host cell comprising said vector.

The present invention also provides a composition comprising a compound of the invention, a peptide or mimetic of the invention, and/or a polynucleotide of the invention, and optionally an acceptable carrier or diluent, more preferably a pharmaceutically acceptable carrier or diluent.

The present invention further provides a method for preventing or treating a disease associated with aberrant IR and/or IGF-1R functioning and/or signalling, the method comprising administering to a subject in need thereof a compound of the invention, a peptide or mimetic of the invention, and/or a polynucleotide of the invention.

Also provided by the present invention is use of a compound of the invention, a peptide or mimetic of the invention, and/or a polynucleotide of the invention, for the manufacture of a medicament for treating a disease in a subject associated with aberrant IR and/or IGF-1R functioning and/or signalling.

Examples of diseases associated with aberrant IR and/or IGF-1R functioning and/or signalling include, but are not limited to, obesity, type I and type II diabetes, cardiovascular disease, osteoporosis, dementia and cancer.

It is also intended that embodiments of the present invention include manufacturing steps such as incorporating the compound, such as a peptide, into a pharmaceutical composition in the manufacture of a medicament.

Throughout this specification, preferred aspects and embodiments apply, as appropriate, separately, or in combination, to other aspects and embodiments, mutatis mutandis, whether or not explicitly stated as such.

The present invention will now be described further with reference to the following examples, which are illustrative only and non-limiting.

BRIEF DESCRIPTION OF THE FIGURES

Some figures contain colour representations or entities. Coloured versions of the figures are available from the Patentee upon request or from an appropriate patent Office. A fee may be imposed if obtained from a Patent Office.

FIG. 1: Shows the sequence alignment of the ectodomains of human insulin receptor (1R, exon 11-isoform) and human IGF1 receptor (IGF-1R). Residues conserved between the sequences are indicated by vertical bars and potential N-linked glycosylation sites are indicated by shading. Disulphide links are indicated by square braces above the alignment. Sequence sources were: IR (Ullrich et al., 1985), human type 1 IGF receptor (Ullrich et al., 1986).

FIG. 2. ITC curves for the titration of (a) IR classical αCT peptide against IR485, (b) IGF-1R classical αCT peptide against IR485, and (c) IR classical αCT.714A peptide against IR485.

FIG. 3. ITC curves for the titration of (a) ZFP-insulin against IR485 pre-complexed with a 10-fold molar ratio of IR classical αCT peptide, (b) ZFP-insulin against IR485 pre-complexed with a 10-fold molar ratio of IGF-1R classical αCT peptide, (c) IGF-1R against IR485 pre-complexed with a 10-fold molar ratio of IR classical αCT peptide, and (d) IGF-IR against IR485 pre-complexed with a 10-fold molar ratio of IGF-1R classical αCT peptide.

FIG. 4. ITC curves for the titration of (a) S519C16 against IR485, (b) S519C16 against IR485 pre-complexed with a 10-fold molar ratio of IR classical αCT peptide, (c) S519N20 against IR485, and (d) 5519 against IR485.

FIG. 5. Dynamic light scattering volume distribution curves obtained from samples of (a) IR485 at 6 mg/ml, (b) IR485 at 0.5 mg/ml, (c) IR485 at 6 mg/ml plus a 3-fold molar ratio of IR αCT peptide, (d) IR485 at 6 mg/ml plus a 3-fold molar ratio of IR classical αCT peptide and a 2-fold molar ratio of ZFP-insulin.

FIG. 6. The crystal structure of IR ectodomain comprising the C-terminal region of the α-chain of IR. (a) Negative B-factor enhanced (F_(o)-F_(e)) electron density overlaid with the final model of IR residues 693-710; (b) Detail of the interaction between IR residues 693-710 (yellow backbone, green carbons, non-bold numbering) and the surface of L 1-132 (pink backbones; cyan carbons, bold numbering); (c) Sequence alignment of the C-terminal regions of the α-chains of IR and IGF-1Rand the S519C16 peptide (Menting et al., 2009). Shaded regions show conservation between the three sequences and boxed regions show segments predicted to be helical in conformation (Menting et al., 2009).

FIG. 7. Model structure of the C-terminal region of IR α-chain bound to the L1 domain of IGF-1R (Appendix II) generated from the crystal structure of IR ectodomain inclusive of residues 693-710. The backbone of the respective L1 domain is shown as an orange coil, the side chains of residues within the L1 domain that interact with the respective bound peptide are shown with green carbon atoms, red oxygen atoms and blue nitrogen atoms, and the backbone of the bound peptide helix is shown as a blue coiL Selected peptide residues that interact with the L1 domain are shown with cyan carbon atoms, red oxygen atoms and blue nitrogen atoms. The remaining peptide residues, which have more limited or no interaction with the L1 domain are represented only by their α-carbon atoms shown as spheres embedded in the peptide coil, with other atoms within these residues omitted for clarity. Residues that lie in the C-terminal region of IR α-chain are underlined for clarity.

FIG. 8. Model structure of the C-terminal region of IGF-1R α-chain bound to the L1 domain of IR (Appendix III). Colouring and style is as described above for FIG. 7.

FIG. 9. Model structure of the C-terminal region of IGF-1R α-chain bound to the L1 domain of IGF-1R (Appendix IV). Colouring and style is as described above for FIG. 7.

FIG. 10. Model structure of the S519C16 peptide bound to the L1 domain of IR (Appendix V). Colouring and style is as described above for FIG. 7.

FIG. 11. Model structure of the S519C16 peptide bound to the L1 domain of IGF-1R (Appendix VI). Colouring and style is as described above for FIG. 7.

FIG. 12. Sample isothermal titration calorimetry curves obtained for the titration against insulin mini-receptor IR485 of N-terminally biotinylated αCT peptide 698-719 containing the following respective mutations: (A) wild type, (B) T704Y, (C) R702W, (D) R702Y, (E) T704W and (F) R702Y/T704W.

KEY TO THE SEQUENCE LISTING

-   SEQ ID NO: 1—Amino acid sequence of mature human insulin receptor     ectodomain (isoform A). -   SEQ ID NO: 2—Amino acid sequence of mature human insulin receptor     ectodomain (isoform B). -   SEQ ID NO: 3—Amino acid sequence of mouse insulin receptor. -   SEQ ID NO: 4—Amino acid sequence of rhesus monkey insulin receptor,     predicted. -   SEQ ID NO: 5—Amino acid sequence of bovine insulin receptor,     predicted. -   SEQ ID NO: 6—Amino acid sequence of mature human insulin-like growth     factor receptor 1 (IGF-1R) ectodomain. -   SEQ ID NO: 7—Amino acid sequence of mouse insulin-like growth factor     receptor 1 (IGF-1R). -   SEQ ID NO: 8—Amino acid sequence of rhesus monkey insulin-like     growth factor receptor 1 (IGF-1R), predicted. -   SEQ ID NO: 9—Amino acid sequence of bovine insulin-like growth     factor receptor 1 (IGF-1R), predicted. -   SEQ ID NO: 10—Amino acid sequence of IR485. -   SEQ ID NO: 11—Amino acid sequence of the classical α-chain     C-terminal peptide (αCT) of human IR. -   SEQ ID NO: 12—Amino acid sequence of the F714A mutant of the     classical α-chain C-terminal peptide (‘αCT’) of human IR. -   SEQ ID NO: 13—Amino acid sequence of the C-terminal region of the     α-chain of human IR. -   SEQ ID NO: 14—Amino acid sequence of the classical α-chain     C-terminal peptide (αCT) of human IGF-1R. -   SEQ ID NO: 15—Amino acid sequence of the C-terminal region of the     α-chain of human IGF-1R. -   SEQ ID NO: 16—Amino acid sequence of the S519 peptide. -   SEQ ID NO: 17—Amino acid sequence of the S519N20 peptide. -   SEQ ID NO: 18—Amino acid sequence of the S519C16 peptide. -   SEQ ID NO:19—FYXWF motif

DETAILED DESCRIPTION OF THE INVENTION

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art (e.g. in molecular biology, biochemistry, structural biology, and computational biology). Standard techniques are used for molecular and biochemical methods (see generally, Sambrook et al., 2001, and Ausubel et al., 1999, which are incorporated herein by reference) and chemical methods.

Throughout this specification the word “comprise”, or variations such as “comprises” or “comprising”, will be understood to imply the inclusion of a stated element, integer or step, or group of elements, integers or steps, but not the exclusion of any other element, integer or step, or group of elements, integers or steps.

IR Ectodomain Crystals and Crystal Structure

The present invention provides a crystal comprising a C-terminal region of the IR α-chain based on the IRΔβconstruct (see Examples).

As used herein, the term “crystal” means a structure (such as a three dimensional (3D) solid aggregate) in which the plane faces intersect at definite angles and in which there is a regular structure (such as internal structure) of the constituent chemical species. The term “crystal” refers in particular to a solid physical crystal form such as an experimentally prepared crystal.

Crystals according to the invention may be prepared using any IR ectodomain, i.e. the IR polypeptide containing the extracellular domain and lacking the transmembrane domain and the intracellular tyrosine kinase domain. Typically, the extracellular domain comprises residues 1 to 917 (mature receptor numbering) of human IR, or the equivalent thereof together with any post-translational modifications of these residues such as N- or O-linked glycosylation.

In a preferred embodiment the IR polypeptide is human IR (SEQ ID NOs: 1 and 2). However, the IR polypeptide may also be obtained from other species, such as other mammalian, vertebrate or invertebrate species. Examples of IR polypeptides from other species are given in SEQ ID NOs: 3 to 5.

Crystals may be constructed with wild-type IR polypeptide ectodomain sequences or variants thereof, including allelic variants and naturally occurring mutations as well as genetically engineered variants. Typically, variants have at least 95 or 98% sequence identity with a corresponding wild-type IR ectodomain polypeptide.

Optionally, the crystal of IR ectodomain may comprise one or more molecules which bind to the ectodomain, or otherwise soaked into the crystal or cocrystallised with IR ectodomain. Such molecules include ligands or small molecules, which may be candidate pharmaceutical agents intended to modulate the interaction between IR and its biological targets. The crystal of IR ectodomain may also be a molecular complex with other receptors of the IGF receptor family such as IGF-1R. The complex may also comprise additional molecules such as the ligands to these receptors.

The production of IR ectodomain crystals is described below.

In a preferred embodiment, an IR ectodomain crystal of the invention comprising the C-terminal segment of the IR α-chain has the atomic coordinates set forth in Appendix I. As used herein, the term “atomic coordinates” or “set of coordinates” refers to a set of values which define the position of one or more atoms with reference to a system of axes. It will be understood by those skilled in the art that atomic coordinates may be varied, without affecting significantly the accuracy of models derived therefrom. Thus, although the invention provides a very precise definition of a preferred atomic structure, it will be understood that minor variations are envisaged and the claims are intended to encompass such variations.

It will be understood that any reference herein to the atomic coordinates or subset of the atomic coordinates shown in Appendix I shall include, unless specified otherwise, atomic coordinates having a root mean square deviation of backbone atoms of not more than 1.5 Å, preferably not more than 1 Å, when superimposed on the corresponding backbone atoms described by the atomic coordinates shown in Appendix I. Also, any reference to the atomic coordinates or subset of the atomic coordinates shown in Appendixes II to VI shall include, unless specified otherwise, atomic coordinates having a root mean square deviation of backbone atoms of not more than 2.5 Å when superimposed on the corresponding backbone atoms described by the atomic coordinates shown in Appendixes II to VI.

The following defines what is intended by the term “root mean square deviation (RMSD)” between two data sets. For each element in the first data set, its deviation from the corresponding item in the second data set is computed. The squared deviation is the square of that deviation, and the mean squared deviation is the mean of all these squared deviations.

The root mean square deviation is the square root of the mean squared deviation.

Preferred variants are those in which the RMSD of the x, y and z coordinates for all backbone atoms other than hydrogen is less than 1.5 Å (preferably less than 1 Å, 0.7 Å or less than 0.3 Å) compared with the coordinates given in Appendix I. It will be readily appreciated by those skilled in the art that a 3D rigid body rotation and/or translation of the atomic coordinates does not alter the structure of the molecule concerned.

In a highly preferred embodiment, the crystal has the atomic coordinates as shown in Appendix I.

The present invention also provides a crystal structure of the low affinity insulin binding site of IR ectodomain polypeptide comprising the C-terminal region of the IR α-chain, or a region thereof.

The atomic coordinates obtained experimentally for amino acids 4 to 655, 693 to 710 (the “C-terminal region of the IR α-chain”), and 755 to 909 of human IR-A (mature receptor numbering; SEQ ID NO: 1) are shown in Appendix I. However, a person skilled in the art will appreciate that a set of atomic coordinates determined by X-ray crystallography is not without standard error. Accordingly, any set of structure coordinates for an IR ectodomain polypeptide comprising the C-terminal region of the IR α-chain that has a root mean square deviation of protein backbone atoms of less than 0.75 Å when superimposed (using backbone atoms) on the atomic coordinates listed in Appendix I shall be considered identical.

The present invention also comprises the atomic coordinates of the C-terminal region of the IR α-chain that substantially conforms to the atomic coordinates listed in Appendix I.

A structure that “substantially conforms” to a given set of atomic coordinates is a structure wherein at least about 50% of such structure has an RMSD of less than about 1.5 Å for the backbone atoms in secondary structure elements in each domain, and more preferably, less than about 1.3 Å for the backbone atoms in secondary structure elements in each domain, and, in increasing preference, less than about 1.0 Å, less than about 0.7 Å, less than about 0.5 Å, and most preferably, less than about 0.3 Å for the backbone atoms in secondary structure elements in each domain.

In a more preferred embodiment, a structure that substantially conforms to a given set of atomic coordinates is a structure wherein at least about 75% of such structure has the recited RMSD value, and more preferably, at least about 90% of such structure has the recited RMSD value, and most preferably, about 100% of such structure has the recited RMSD value.

In an even more preferred embodiment, the above definition of “substantially conforms” can be extended to include atoms of amino acid side chains. As used herein, the phrase “common amino acid side chains” refers to amino acid side chains that are common to both the structure which substantially conforms to a given set of atomic coordinates and the structure that is actually represented by such atomic coordinates.

The present invention also provides a preferred subset of the atomic coordinates listed in Appendixes I and II comprising the C-terminal region of the IR ectodomain α-chain spanning residues 693 to 710 (SEQ ID NO: 13).

As used herein, the term “IR ectodomain” refers to the extracellular domain of IR lacking the transmembrane domain and the intracellular tyrosine kinase domain of IR, typically comprising residues 1 to 917 (mature IR-A receptor numbering) of human. IR, or the equivalent thereof, together with any post-translational modifications of these residues such as N- or O-linked glycosylation.

As used herein, the term “low affinity binding site” for IR means the regions of IR involved in forming the low affinity binding site (also known as “Site 1”) of IR for insulin, comprising the C-terminal region of the IR α-chain and additionally one or both of the L 1 domain of IR and the CR domain of IR. Insulin binding to the low affinity binding site of IR induces formation of the high affinity insulin binding site of IR and subsequent signal transduction.

As used herein, the term “C-terminal region” of the IR α-chain refers to amino acids 693-710 of isoform A (IR-A) of the human IR α-chain as given in SEQ ID NO: 13, with numbering according to mature isoform A of human IR (SEQ ID NO: 1). However, a person skilled in the art will appreciate that the corresponding region (amino acids 693-710) of the IR α-chain from isoform B of the mature human IR (SEQ ID NO: 2) could alternatively be used in the present invention.

As used herein, theterm “classical α-chain C-terminal peptide”, or “αCT”, refers in IR to a region of the C-terminal α-chain of IR previously described in the literature as being important for, insulin binding (Kurose et al., 1994; Kristensen et al, 2002), and comprising amino acids 704-719 (mature IR-A receptor numbering) as given in SEQ ID NO: 11.

As used herein, the term “leucine-rich repeat domain 1” or “L1 domain” refers in IR to a leucine-rich domain comprising amino acids 1-156 of mature human IR (SEQ ID NO: 1). The L 1 domain of IR comprises a central β-sheet, which comprises amino acids selected from 10-15, 32-37, 60-65, 88-97, 116-121 and 142-147 of mature human IR (SEQ ID NO: 1).

As used herein, the term “leucine-rich repeat domain 2” or “L2 domain” refers in IR to a leucine-rich domain comprising amino acids 310-469 of mature human IR (SEQ ID NO: 1).

As used herein, the term “loop in the fourth leucine-rich repeat (LRR) rung of the L1 domain”, or variations thereof, refers in IR to a leucine-rich domain comprising amino acids 85-91 of mature human IR (SEQ ID NO: 1).

As used herein, the term “cysteine-rich domain” or “CR domain” refers in IR to a cysteine-rich domain comprising amino acids 157-309 of mature human IR (SEQ ID NO: 1). The CR domain contains many different modules. As used herein, the term “module 6 of the CR domain” refers in IR to amino acids 256-286 of mature human IR (SEQ ID NO: 1).

IGF-1R Ectodomain Structure

Due to the high sequence homology and structural similarity between IR and IGF-1R, the present invention also provides a model for the C-terminal region of IGF-1R α-chain as it associates with IGF-1R to form the low affinity IGF binding site. The present invention provides a preferred subset of the atomic coordinates listed in Appendixes III and IV comprising the C-terminal region of the IGF-1R ectodomain α-chain spanning residues 681-697 (SEQ ID NO: 15).

As used herein, the term “IGF-1R ectodomain” refers to the extracellular domain of IGF-1R lacking the transmembrane domain and the intracellular tyrosine kinase domain of IGF-1R, typically comprising residues 1 to 905 (mature receptor numbering) of human IGF-1R, or the equivalent, thereof, together with any post-translational modifications of these residues such as N- or O-linked glycosylation.

As used herein, the term “low affinity binding site” for IGF-1R means the regions of IGF-1R involved in forming the low affinity binding site (also known as “Site 1”) of IGF-1R for IGF, comprising the C-terminal region of the IGF-1R α-chain and additionally one or both of the L 1 domain of IGF-1R and the CR domain of IGF-1R. IGF binding to the low affinity binding site of IGF-1R induces formation of the high affinity IGF binding site of IGF-1R and subsequent signal transduction.

As used herein, the term “C-terminal region” of the IGF-1R α-chain refers to amino acids 681-697 of human IGF-1R α-chain as given in SEQ ID NO: 15, with numbering according to mature human IGF-1R (SEQ ID NO: 6).

As used herein, the term “classical α-chain C-terminal peptide”, or “αCT”, refers in IGF-1R to a region of IGF-1R corresponding to the C-terminal α-chain of IR previously described in the literature as being important for insulin binding (Kurose et al., 1994; Kristensen et al, 2002), and comprising amino acids 691-706 of IGF-1R (mature IGF-1R numbering) as given in SEQ ID NO: 14.

As used herein, the term “leucine-rich repeat domain 1” or “L1 domain” refers in IGF-1R to a leucine-rich domain comprising amino acids 1-149 of mature human IGF-1R (SEQ ID NO: 6).

As used herein, the term “leucine-rich repeat domain 2” or “L2 domain” refers in IGF-1R to a leucine-rich domain comprising amino acids 300-459 of mature human IGF-1R (SEQ ID NO: 6).

As used herein, the term “that part of the second LRR containing Ser35” refers in IGF-1R to amino acids 35-41 of mature human IGF-1R (SEQ ID NO: 6).

As used herein, the term “cysteine-rich domain” or “CR domain” refers in IGF-1R to a cysteine-rich domain comprising amino acids 150-299 of mature human IGF-1R (SEQ ID NO: 6). The CR domain contains many different modules. As used herein, the term “module 6 of the CR domain” refers to amino acids 249-275 of mature human IGF-1R (SEQ ID NO: 6).

Manipulation of the Atomic Coordinates of the Invention

It will be appreciated that a set of atomic coordinates for a polypeptide is a relative set of points that define a shape in three dimensions. Thus, it is possible that an entirely different set of coordinates could define a similar or identical shape. Moreover, slight variations in the individual coordinates will have little effect on overall shape.

The variations in coordinates may be generated due to mathematical manipulations of the atomic coordinates. For example, the atomic coordinates set forth in Appendix I could be manipulated by crystallographic permutations of the atomic coordinates, fractionalisation of the atomic coordinates, integer additions or subtractions to sets of the structure coordinates, inversion of the atomic coordinates, or any combination thereof.

Alternatively, modification in the crystal structure due to mutations, additions, substitutions, and/or deletions of amino acids, or other changes in any of the components that make up the crystal could also account for variations in atomic coordinates.

Various computational analyses are used to determine whether a molecular complex or a portion thereof is sufficiently similar to all or parts of the structure of the extracellular domain of IR described above. Such analyses may be carried out in current software applications, such as the Sequoia program (Bruns et al., 1999).

The Molecular Similarity program permits comparisons between different structures, different conformations of the same structure, and different parts of the same structure.

Comparisons typically involve calculation of the optimum translations and rotations required such that the root mean square deviation of the fit over the specified pairs of equivalent atoms is an absolute minimum. This number is given in Angstroms.

Accordingly, atomic coordinates of an IR and/or IGF-1R ectodomain comprising the low affinity binding site of the present invention include atomic coordinates related to the atomic coordinates listed in Appendixes I to VI by whole body translations and/or rotations. Accordingly, RMSD values listed above assume that at least the backbone atoms of the structures are optimally superimposed which may require translation and/or rotation to achieve the required optimal fit from which to calculate the RMSD value.

A three dimensional structure of an IR and/or IGF-1R ectodomain polypeptide or region thereof which substantially conforms to a specified set of atomic coordinates can be modelled by a suitable modeling computer program such as MODELLER (Sali & Blundell, 1993), using information, for example, derived from the following data: (1) the amino acid sequence of the human IR and/or IGF-1R ectodomain polypeptide; (2) the amino acid sequence of the related portion(s) of the protein represented by the specified set of atomic coordinates having a three dimensional configuration; and, (3) the atomic coordinates of the specified three dimensional configuration. A three dimensional structure of an IR and/or IGF-1R ectodomain polypeptide which substantially conforms to a specified set of atomic coordinates can also be calculated by a method such as molecular replacement, which is described in detail below.

Atomic coordinates are typically loaded onto a machine-readable medium for subsequent computational manipulation. Thus models and/or atomic coordinates are advantageously stored on machine-readable media, such as magnetic or optical media and random-access or read-only memory, including tapes, diskettes, hard disks, CD-ROMs and DVDs, flash memory cards or chips, servers and the interne. The machine is typically a computer.

The atomic coordinates may be used in a computer to generate a representation, e.g. an image, of the three-dimensional structure of the IR and/or IGF-1R ectodomain crystal which can be displayed by the computer and/or represented in an electronic file.

The atomic coordinates and models derived therefrom may alsobe used for a variety of purposes such as drug discovery, biological reagent (binding protein) selection and X-ray crystallographic analysis of other protein crystals.

Molecular Replacement/Binding

The structure coordinates of IR and/or IGF-1R comprising the C-terminal region of the α-chain, such as those set forth in Appendixes I to IV, can also be used for determining the three-dimensional structure of a molecular complex which contains at least the C-terminal region of the α-chain of IR and/or IGF-1R. In particular, structural information about another crystallised molecular complex may be obtained. This may be achieved by any of a number of well-known techniques, including molecular replacement.

Methods of molecular replacement are generally known by those of skill in the art (generally described in Brunger, 1997; Navaza & Saludjian, 1997; Tong & Rossmann, 1997; Bentley, 1997; Lattman, 1985; Rossmann, 1972; McCoy, 2007).

Generally, X-ray diffraction data are collected from the crystal of a crystallised target structure. The X-ray diffraction data is transformed to calculate a Patterson function. The Patterson function of the crystallised target structure is compared with a Patterson function calculated from a known structure (referred to herein as a search structure). The Patterson function of the search structure is rotated on the target structure Patterson function to determine the correct orientation of the search structure in the crystal. A translation function is then calculated to determine the location of the search structure with respect to the crystal axes. Once the search structure has been correctly positioned in the unit cell, initial phases for the experimental data can be calculated. These phases are necessary for calculation of an electron density map from which structural differences can be observed and for refinement of the structure. Preferably, the structural features (e.g., amino acid sequence, conserved di-sulphide bonds, and beta-strands or beta-sheets) of the search molecule are related to the crystallised target structure.

The electron density map can, in turn, be subjected to any well-known model building and structure refinement techniques to provide a final, accurate structure of the unknown (i.e. target) crystallised molecular complex (e.g. see Jones et al., 1991; Brünger et al., 1998).

Obtaining accurate values for the phases, by methods other than molecular replacement, is a time-consuming process that involves iterative cycles of approximations and refinements and greatly hinders the solution of crystal structures. However, when the crystal structure of a protein containing at least a homologous portion has been solved, the phases from the known structure provide a satisfactory starting estimate of the phases for the unknown structure.

By using molecular replacement, all or part of the structure coordinates of IR and/or IGF-1R comprising the C-terminal region of the α-chain provided herein (and set forth in Appendixes I to IV) can be used to determine the structure of a crystallised molecular complex whose structure is unknown more rapidly and efficiently than attempting to determine such information ab initio. This method is especially useful in determining the structure of IR and/or IGF-1R mutants and homologues.

The structure of any portion of any crystallised molecular complex that is sufficiently homologous to any portion of the extracellular domain of IR and/or IGF-1R can be solved by this method.

Such structure coordinates are also particularly useful to solve the structure of crystals of IR and/or IGF-1R co-complexed with a variety of molecules, such as chemical entities. For example, this approach enables the determination of the optimal sites for the interaction between chemical entities, and the interaction of candidate IR and/or IGF-1R agonists or antagonists.

All of the complexes referred to above may be studied using well-known X-ray diffraction techniques and may be refined against 1.5-3.5 Å resolution X-ray data to an R value of about 0.25 or less using computer software, such as X-PLOR (Yale University, distributed by Molecular Simulations, Inc.; see Brünger, 1996). This information may thus be used to optimize known IR and/or IGF-1R agonist/antagonists, such as anti-IR and/or anti-IF-1R antibodies, and more importantly, to design new or improved IR and/or IGF-1R agonists/antagonists.

Target Sites for Compound Identification, Design or Screening

The three-dimensional structure of, the low affinity binding site of IR and/or IGF-1R provided by the present invention (Appendixes I to IV) can be used to identify potential target binding sites in the low affinity insulin binding site of IR and/or IGF-1R (i.e. to identify those regions of the low affinity binding site of IR and/or IGF-1R involved in and important to the binding of insulin and/or IGF and subsequent signal transduction) as well as in methods for identifying or designing compounds which interact with the low affinity binding site of IR and/or IGF-1R e.g. potential modulators of IR and/or IGF-1R.

The three-dimensional structure of IR and/or IGF-1R provided by the present invention (Appendixes I to IV) can be used to identify potential target binding sites in the L1 domain of IR and/or IGF-1R important for binding to the C-terminal region of the IR and/or IGF-1R α-chain (i.e. to identify those regions of the L1 domain of IR and/or IGF-1R involved in and important to the binding of C-terminal region of the IR and/or IGF-1R α-chain) as well as in methods for identifying or designing compounds which interact with the L1 domain of IR and/or IGF-1R in a manner similar to the C-terminal region of the IR and/or IGF-1R α-chain e.g. potential modulators of IR and/or IGF-1R.

The low affinity binding site of IR is a region of IR ectodomain involved in insulin docking to the receptor. Preferred low affinity target binding sites comprise the C-terminal region of the α-chain and one or more regions from the L1 domain and/or the CR domain of IR ectodomain. With regards to the L 1 domain, the target binding site preferably comprises portions of the molecular surface of the central n-sheet of L1 and portions of the molecular surface of the second leucine-rich repeat (LRR) which contain Phe39 or the loop in the fourth LRR rung of L1, or preferably both, as defined above. With regards the CR domain, the target binding site preferably comprises module 6 of the CR domain, as defined above.

Alternatively; the low affinity target binding site in IR may comprise one or more amino acids from amino acids 693-710 (encompassing the C-terminal region of the IR α-chain) plus one or more of the following amino acid sequences: (i) amino acids 1-156; (ii) amino acids 157-310, and; (iii) amino acids 594 and 794.

With regards to amino acids 1-156, the target binding site preferably comprises at least one amino acid selected from Arg14, Asn15, Gln34, Leu36, Leu37, Phe39, Pro43, Phe46, Leu62, Phe64, Leu87, Phe88, Phe89, Asn90, Phe96, Glu97, Arg 118, Glu 120 or His144.

With regards to amino acids 157-310, the target binding site preferably comprises at least one amino acid from the amino acid sequence 192-310, more preferably at least one amino acid from the sequence 227-303, yet more preferably least one amino acid selected from the sequence 259-284.

With regards to amino acids 594 and 794, the target binding site preferably comprises at least one amino acid selected from Asn594 or Arg794.

In a preferred embodiment, van der Waals and/or hydrophobic interactions account for the major portion of the binding energy between a compound and a low affinity insulin binding site of IR.

The three-dimensional structure of the C-terminal region of the IR α-chain provided by the present invention can also be used to identify or more clearly elucidate potential target binding sites on IGF-1R ectodomain (i.e. to identify those regions, or at least more accurately elucidate those regions, of IGF-1R ectodomain involved in and important to the binding of IGF and signal transduction) as well as in methods used for identifying or designing compounds which interact with potential target binding sites of IGF-1R ectodomain, e.g. potential modulators of IGF-1R.

Preferred target binding sites are those governing specificity, i.e. those regions of IGF-1R ectodomain involved in the initial low affinity binding of IGF (i.e. the initial binding of IGF to IGF-1R).

The low affinity binding site of IGF-1R is a region of IGF-1R ectodomain involved in IGF-I binding to the receptor. Preferred low affinity target binding sites comprise the C-terminal region of IGF-1R α-chain and one or more regions from the L 1 domain and/or the CR domain of IGF-1R ectodomain. With regards to the L1 domain, the target binding site preferably comprises the central β-sheet of the L1 domain, and/or that part of the second LRR containing Ser35, and/or the loop in the fourth LRR rung of the L1 domain, or preferably all of these, as defined above. With regards the CR domain, the target binding site preferably comprises module 6 of the CR domain, as defined above.

Alternatively, the low affinity IGF binding site may comprise one or more amino acids from amino acids 681-697 (encompassing the C-terminal region of the IGF-1R α-chain) plus one or more amino acids from the following amino acid sequences: (i) amino acids 1-149; and (ii) amino acids 150-298.

With regards to amino acids 1-149, the target binding site preferably comprises at least one amino acid from the amino acid sequence 1-62, preferably 1-49, and more preferably amino acid sequence 23-49. With regards to amino acids 150-298, the target binding site preferably comprises at least one amino acid from the amino acid sequence 185-298, more preferably at least one amino acid from the sequence 220-294, yet more preferably least one amino acid selected from the sequence 252-273. The target binding site preferably comprises at least one amino acid selected from Arg10, His30, Leu32, Leu33, Leu56, Phe58, Arg59, Phe82, Tyr83, Asn84, Tyr85, Val88, Phe90, Arg112 and Asn136.

In a preferred embodiment, van der Waals and/or hydrophobic interactions account for the major portion of the binding energy between a compound and a low affinity binding site of IGF-1R.

Additional preferred binding sites in the case of both IR and IGF-1R, particularly for biological macromolecules such as proteins or aptamers, are those that are devoid of glycosylation or devoid of steric hindrance from glycan covalently attached to the polypeptide at sites in the spatial vicinity.

Design, Selection, Fitting and Assessment of Chemical Entities that Bind IR and/or IGF-1R

Using a variety of known modelling techniques, the crystal structure of the present invention can be used to produce a model for the low affinity binding site of IR and/or IGF-1R, or at least part of the C-terminal region of the α-chain of IR or IGF-1R.

As used herein, the term “modelling” includes the quantitative and qualitative analysis of molecular structure and/or function based on atomic structural information and interaction models. The term “modelling” includes conventional numeric-based molecular dynamic and energy minimisation models, interactive computer graphic models, modified molecular mechanics models, distance geometry and other structure-based constraint models.

Molecular modelling techniques can be applied to the atomic coordinates of the low affinity binding site of IR and/or IGF-1R, or at least part of the C-terminal region of the α-chain of IR or IGF-1R, or a region thereof to derive a range of 3D models and to investigate the structure of binding sites, such as the binding sites of monoclonal antibodies, nonimmunoglobulin binding proteins and inhibitory peptides.

These techniques may also be used to screen for or design small and large chemical entities which are capable of binding IR and modulating the ability of IR to interact with extracellular biological targets, such as insulin or members of the IGF receptor family e.g. which modulate the ability of IR to heterodimerise. The screen may employ a solid 3D screening system or a computational screening system.

Such modelling methods are to design or select chemical entities that possess stereochemical complementary to the low affinity binding site of IR and/or IGF-1R, or to the regions of the L 1 domain of IR and/or IGF-1R with which the C-terminal region of the α-chain of IR and/or IGF-1R interact By “stereochemical complementarity” we mean that the compound or a portion thereof makes a sufficient number of energetically favourable contacts with the receptor as to have a net reduction of free energy on binding to the receptor.

Such stereochemical complementarity is characteristic of a molecule that matches intra-site surface residues lining the groove of the receptor site as enumerated by the coordinates set out in Appendix I, optionally also utilising the coordinates set out in Appendixes II to VI. By “match” we mean that the identified portions interact with the surface residues, for example, via hydrogen bonding or by non-covalent Van der Waals and Coulomb interactions (with surface or residue) which promote desolvation of the molecule within the site, in such a way that retention of the molecule at the binding site is favoured energetically.

It is preferred that the stereochemical complementarity is such that the compound has a K_(d) for the receptor site of less than 10⁻⁴M, more preferably less than 10⁻⁵M and more preferably 10⁻⁶M. In a most preferred embodiment, the K_(d) value is less than 10⁻⁸M and more preferably less than 10⁻⁹M.

Chemical entities which are complementary to the shape and electrostatics or chemistry of the receptor site characterised by amino acids positioned at atomic coordinates set out in Appendixes I to IV will be able to bind to the receptor, and when the binding is sufficiently strong, substantially prohibit the interaction of the IR and/or IGF-1R ectodomain with biological target molecules such as insulin or IGF.

It will be appreciated that it is not necessary that the complementarity between chemical entities and the receptor site extend over all residues of the receptor site in order to inhibit binding of a molecule or complex that naturally interacts with IR and/or IGF-1R ectodomain.

A number of methods may be used to identify chemical entities possessing stereochemical complementarity to the low affinity binding site of IR and/or IGF-1R, or to the regions of the L 1 domain of IR and/or IGF-1R with which the C-terminal region of the α-chain of IR and/or IGF-1R interact. For instance, the process may begin by visual inspection of the entire low affinity insulin binding site comprising the C-terminal region of the α-chain of IR, or the equivalent region in IGF-1R, on the computer screen based on the coordinates in Appendixes I to IV generated from the machine-readable storage medium. Alternatively, selected fragments or chemical entities may then be positioned in a variety of orientations, or docked, within the low affinity binding site of IR and/or IGF-1R, or within the L 1 domain of IR and/or IGF-1R in a manner similar to the C-terminal region of the α-chain of IR or IGF-1R, as defined supra. Similar methods could be used to identify chemical entities or compounds that may interact with the L1 domain of IR and/or IGF-1R in a manner similar to that of the C-terminal region of the α-chain of IR and/or IGF-1R.

Modelling software that is well known and available in the art may be used (Guida, 1994). These include Discovery Studio (Accelrys Software Inc., San Diego), SYBYL (Tripos Associates, Inc., St. Louis, Mo., 1992); Maestro (Schrödinger LLC, Portland), MOE (Chemical Computing Group Inc., Montreal, Canada). This modelling step may be followed by energy minimization with standard molecular mechanics force fields such as AMBER (Weiner et al., 1984), OPLS (Jorgensen and Tirado-Rives, 1988) and CHARMM (Brooks et al., 1983). In addition, there are a number of more specialized computer programs to assist in the process of selecting the binding moieties of this invention.

Specialised computer programs may also assist in the process of selecting fragments or chemical entities. These include, inter alia:

-   1. GRID (Goodford, 1985). GRID is available from Molecular Discovery     Ltd., Italy. -   2. AUTODOCK (Goodsell & Olsen, 1990). AUTODOCK is available from     Scripps Research Institute, La Jolla, Calif. -   3. DOCK (Kuntz et al., 1982). DOCK is available from University of     California, San Francisco, Calif. -   4. GLIDE (Friesner et al., 2004). GLIDE is available from     Schrödinger LLC, Portland. -   5. GOLD (Cole et al., 2005). GOLD is available from The Cambridge     Crystallographic Data Centre, Cambridge, UK.

Once suitable chemical entities or fragments have been selected; they can be assembled into a single compound. In one embodiment, assembly may proceed by visual inspection of the relationship of the fragments to each other on the three-dimensional image displayed on a computer screen in relation to the structure coordinates of the low affinity binding site of IR and/or IGF-1R, or the L1 domain to which the C-terminal region of the α-chain of IR or IGF-1R binds. This is, followed by manual model building using software such as Discovery Studio, Maestro, MOE or Sybyl. Alternatively, fragments may be joined to additional atoms using standard chemical geometry.

The above-described evaluation process for chemical entities may be performed in a similar fashion for chemical compounds.

Useful programs to aid one of skilled in the art in connecting the individual chemical entities or fragments include:

-   1. CAVEAT (Bartlett et al., 1989). CAVEAT is available from the     University of California, Berkeley, Calif. -   2. GANDI (Day and Caflisch, 2008). GANDI is available from the     University of Zurich.

Other molecular modeling techniques may also be employed in accordance with this invention, see, e.g., Cohen et al. (1990) and Navia & Murcko (1992).

There are two preferred approaches to designing a molecule according to the present invention that complement the stereochemistry of the low affinity binding site of IR and/or IGF-1R, or the L1 domain to which the C-terminal region of the α-chain of IR or IGF-1R binds. The first approach is to in silico directly dock molecules from a three-dimensional structural database, to the target binding site, using mostly, but not exclusively, geometric criteria to assess the goodness-of-fit of a particular molecule to the site. In this approach, the number of internal degrees of freedom (and the corresponding local minima in the molecular conformation space) is reduced by considering only the geometric (hard-sphere) interactions of two rigid bodies, where one body (the active site) contains “pockets” or “grooves” that form binding sites for the second body (the complementing molecule).

Flexibility of the receptor, IR or IGFR, can be incorporated into the in silico screening by the application of multiple conformations of the receptor (Totrov and Abagyan, 2008). The multiple conformations of the receptor can, be generated from the coordinates listed in Appendixes 1 to VI computationally by use of molecular dynamics simulation or similar approaches.

This approach is illustrated by Kuntz et al. (1982) and Ewing et al. (2001), the contents of which are hereby incorporated by reference, whose algorithm for ligand design is implemented in a commercial software package, DOCK version 4.0, distributed by the Regents of the University of California and further described in a document, provided by the distributor, which is entitled “Overview of the DOCK program suite” the contents of which are hereby incorporated by reference. Pursuant to the Kuntz algorithm, the shape of the cavity in which the C-terminal region of the α-chain of IR or IGF-1R fits is defined as a series of overlapping spheres of different radii. One or more extant databases of crystallographic data, such as the Cambridge Structural Database System (The Cambridge Crystallographic Data Centre, Cambridge, U.K.), the Protein Data Bank maintained by the Research Collaboratory for Structural Bioinformatics (Rutgers University, N.J., U.S.A.), LeadQuest (Tripos Associates, Inc., St. Louis, Mo.), Available Chemicals Directory (Symyx Technologies Inc.), and the NCI database (National Cancer Institute, U.S.A) is then searched for molecules which approximate the shape thus defined.

Molecules identified on the basis of geometric parameters, can then be modified to satisfy criteria associated with chemical complementarity, such as hydrogen bonding, ionic interactions and van der Waals interactions. Different scoring functions can be employed to rank and select the best molecule from a database. See for example Bohm & Stahl (1999). The software package FlexX, marketed by Tripos Associates, Inc. (St. Louis, Mo.) is another program that can be used in this direct docking approach (see Rarey et al., 1996).

The second preferred approach entails an assessment of the interaction of respective chemical groups (“probes”) with the active site at sample positions within and around the site, resulting in an array of energy values from which three-dimensional contour surfaces at selected energy levels can be generated. The chemical-probe approach to ligand design is described, for example, by Goodford, (1985), the contents of which are hereby incorporated by reference, and is implemented in several commercial software packages, such as GRID (product of Molecular Discovery Ltd., Italy).

Pursuant to this approach, the chemical prerequisites for a site-complementing molecule are identified at the outset, by probing the active site with different chemical probes, e.g., water, a methyl group, an amine nitrogen, a carboxyl oxygen, or a hydroxyl. Favoured sites for interaction between the active site and each probe are thus determined, and from the resulting three-dimensional pattern of such sites a putative complementary molecule can be generated. This may be done either by programs that can search three-dimensional databases to identify molecules incorporating desired pharmacophore patterns or by programs which use the favoured sites and probes as input to perform de novo design. Suitable programs for determining and designing pharmacophores include CATALYST (Accelrys Software, Inc), and CERIUS2, DISCO (Abbott Laboratories, Abbott Park, Ill.; distributed by Tripos Associates Inc.).

The pharmacophore can be used to screen in silico compound libraries/three-dimensional databases, using a program such as CATALYST (Accelrys Software, Inc) and Sybyl/3 DB Unity (Tripos Associates, Inc., St. Louis, Mo.).

Databases of chemical structures are available from a number of sources including Cambridge Crystallographic Data Centre (Cambridge, U.K.), Molecular Design, Ltd., (San Leandro; CA), Tripos Associates, Inc. (St. Louis, Mo.), Chemical Abstracts Service (Columbus, Ohio), the Available Chemical Directory (Symyx Technologies, Inc.), the Derwent World Drug Index (WDI), BioByteMasterFile, the National Cancer Institute database (NCI), Medchem Database (BioByte Cortp.), and the Maybridge catalogue.

De novo design programs include LUDI (Accelrys Software Inc., San Diego, Calif.), Leapfrog (Tripos Associates, Inc.), and LigBuilder (Peking University, China).

Once an entity or compound has been designed or selected by the above methods, the efficiency with which that entity or compound may bind to IR and/or IGF-1R can be tested and optimised by computational evaluation. For example, a compound that has been designed or selected to function as an IR binding compound must also preferably traverse a volume not overlapping that occupied by the binding site when it is bound to the native IR. An effective IR binding compound must preferably demonstrate a relatively small difference in energy between its bound and free states (i.e., a small deformation energy of binding). Thus, the most efficient IR and/or IGF-1R binding compound should preferably be designed with a deformation energy of binding of not greater than about 10 kcal/mole, preferably, not greater than 7 kcal/mole. IR and/or IGF-1R binding compounds may interact with IR and/or IGF-1R in more than one confoimation that are similar in overall binding energy. In those cases, the deformation energy of binding is taken to be the difference between the energy of the free compound and the average energy of the conformations observed when the compound binds to the protein.

A compound designed or selected as binding to IR and/or IGF-1R may be further computationally optimised so that in its bound state it would preferably lack repulsive electrostatic interaction with the target protein.

Such non-complementary (e.g., electrostatic) interactions include repulsive charge-charge, dipole-dipole and charge-dipole interactions. Specifically, the sum of all electrostatic interactions between the compound and the protein when the compound is bound to IR and/or IGF-1R, preferably make a neutral or favourable contribution to the enthalpy of binding.

Once an IR and/or IGF-1R-binding compound has been optimally selected or designed, as described above, substitutions may then be made in some of its atoms or side groups to improve or modify its binding properties. Generally, initial substitutions are conservative, i.e., the replacement group will have approximately the same size, shape, hydrophobicity and charge as the original group. It should, of course, be understood that components known in the art to alter conformation should be avoided. Such substituted chemical compounds may then be analysed for efficiency of fit to IR by the same computer methods described in detail above.

Specific computer software is available in the art to evaluate compound deformation energy and electrostatic interaction. Examples of programs designed for such uses include: Gaussian 03, (Frisch, Gaussian, Inc., Pittsburgh, Pa.); GAMESS (Gordon et al., Iowa State University); Jaguar (Schrödinger LLC, Portland); AMBER, version 9.0 (Case et al, University of California at San Francisco); CHARMM (Accelrys Software, Inc., San Diego, Calif.); and GROMACS version 4.0 (van der Spoel et al.).

The screening/design methods may be implemented in hardware or software, or a combination of both. However, preferably, the methods are implemented in computer programs executing on programmable computers each comprising a processor, a data storage system (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. Program code is applied to input data to perform the functions described above and generate output information. The output information is applied to one or more output devices, in known fashion. The computer may be, for example, a personal computer, microcomputer, or workstation of conventional design.

Each program is preferably implemented in a high level procedural or object-oriented programming language to communicate with a computer system. However, the programs can be implemented in assembly or machine language, if desired. In any case, the language may be compiled or interpreted language.

Each such computer program is preferably stored on a storage medium or device (e.g., ROM or magnetic diskette) readable by a general or special purpose programmable computer, for configuring and operating the computer when the storage media or device is read by the computer to perform the procedures described herein. The system may also be considered to, be implemented as a computer-readable storage medium, configured with a computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner to perform the functions described herein.

Compounds

Compounds of the present invention include both those designed or identified using a screening method of the invention and those which are capable of recognising and binding to the low affinity binding sites of IR and/or IGF-1R, as defined above. Also encompassed by the present invention are compounds that bind to the L1 domain of IR and/or IGF-1R in a manner similar to that of the C-terminal region of the α-chain of IR and/or IGF-1R; i.e. compounds which mimic the C-terminal region of the α-chain of IR and/or IGF-1R.

Compounds capable of recognising and binding to the low affinity binding site of IR and/or IGF-1R may be produced using a screening method based on use of the atomic coordinates corresponding to the 3D structure of the low affinity binding site of IR and/or IGF-1R, or alternatively may be identified by screening against a specific target molecule which is indicative of the capacity to bind to the low affinity binding site of IR and/or IGF-1R.

Compounds capable of recognising and binding to the L1 domain of IR and/or IGF-1R in a manner similar to that of the C-terminal region of the α-chain of IR and/or IGF-1R (i.e. compounds which mimic the C-terminal region of the α-chain of IR and/or IGF-1R) may be produced using a screening method based on use of the atomic coordinates corresponding to the 3D structure of the C-terminal region of the α-chain of IR and/or IGF-1R in isolation or as it associates with IR and/or IGF-1R, or alternatively may be identified by screening against a specific target molecule which is indicative of the capacity to bind to the low affinity binding site of IR and/or IGF-1R.

The candidate compounds and/or compounds identified or designed using a method of the present invention may be any suitable compound, synthetic or naturally occurring, preferably synthetic. In one embodiment, a synthetic compound selected or designed by the methods of the invention preferably has a molecular weight equal to or less than about 5000, 4000, 3000, 2000, 1000 or 500 daltons. A compound of the present invention is preferably soluble under physiological conditions.

The compounds may encompass numerous chemical classes, though typically they are organic molecules, preferably small organic compounds having a molecular weight of more than 50 and less than about 2,500 daltons, preferably less than 1500, more preferably less than 1000 and yet more preferably less than 500. Such compounds can comprise functional groups necessary for structural interaction with proteins, particularly hydrogen bonding, and typically include at least an amine, carbonyl, hydroxyl or carboxyl group, preferably at least two of the functional chemical groups. The compound may comprise cyclical carbon or heterocyclic structures and/or aromatic or polyaromatic structures substituted with one or more of the above functional groups. Compounds can also comprise biomolecules including peptides, saccharides, fatty acids, steroids, purines, pyrimidines, derivatives, structural analogs, or combinations thereof.

Compounds may include, for example: (1) Peptides such as soluble peptides, including Ig-tailed fusion peptides and members of random peptide libraries (see, e.g., Lam et al., 1991; Houghten et al., 1991) and combinatorial chemistry-derived molecular libraries made of D- and/or L-configuration amino acids; (2) Phosphopeptides (e.g., members of random and partially degenerate, directed phosphopeptide libraries, see, e.g.; Songyang et al., 1993); (3) Antibodies (e.g., polyclonal, monoclonal, humanized, anti-idiotypic, chimeric, and single chain antibodies as well as Fab, (Fab)₂, Fab expression library and epitope-binding fragments of antibodies); (4) Nonimmunoglobulin binding proteins such as but not restricted to avimers, DARPins and lipocalins; (5) Nucleic acid-based aptamers; and (6) Small organic and inorganic molecules.

Ligands can be obtained from a wide variety of sources including libraries of synthetic or natural compounds. Synthetic compound libraries are commercially available from, for example, Maybridge Chemical Co. (Tintagel, Cornwall, UK), AMRI (Budapest, Hungary) and ChemDiv (San Diego, Calif.), Specs (Delft, The Netherlands).

Natural compound libraries comprising bacterial, fungal, plant or animal extracts are available from, for example, Pan Laboratories (Bothell, Wash.), TimTec (Newark, Del.). In addition, numerous means are available for random and directed synthesis of a wide variety of organic compounds and biomolecules, including expression of randomized oligonucleotides.

Alternatively, libraries of natural compounds in the form of bacterial, fungal, plant and animal extracts can be readily produced. Methods for the synthesis of molecular libraries are readily available (see, e.g., DeWitt et al., 1993; Erb et al., 1994; Zuckermann et al., 1994; Cho et al., 1993; Carell et al., 1994a; Carell et al., 1994b; and Gallop et al., 1994). In addition, natural or synthetic compound libraries and compounds can be readily modified through conventional chemical, physical and biochemical means (see, e.g., Blondelle and Houghton, 1996), and may be used, to produce combinatorial libraries. In another approach; previously identified pharmacological agents can be subjected to directed or random chemical modifications, such as acylation, alkylation, esterification, amidification, and the analogs can be screened for IR and/or IGF-1R-modulating activity.

Numerous methods for producing combinatorial libraries are known in the art, including those involving biological libraries; spatially addressable parallel solid phase or solution phase libraries; synthetic library methods requiring deconvolution; the “one-bead one-compound” library method; and synthetic library methods using affinity chromatography selection. The biological library approach is limited to polypeptide or peptide libraries, while the other four approaches are applicable to polypeptide, peptide, nonpeptide oligomer, or small molecule libraries of compounds (Lam, 1997).

Compounds also include those that may be synthesized from leads generated by fragment-based drug design, wherein the binding of such chemical fragments is assessed by soaking or co-crystallizing such screen fragments into crystals provided by the invention and then subjecting these to an X-ray beam and obtaining diffraction data. Difference Fourier techniques are readily applied by those skilled in the art to determine the location within the IR ectodomain and/or IGF-1R ectodomain structure at which these fragments bind, and such fragments can then be assembled by synthetic chemistry into larger compounds with increased affinity for the receptor.

Isolated Peptides or Mimetics Thereof

Compounds identified or designed using the methods of the invention can be a peptide or a mimetic thereof. Furthermore, in one aspect the present invention provides an isolated peptide or mimetic thereof which binds the L1 domain of IR and/or the L1 domain of IGF-1R, the peptide comprising:

i) an amino acid sequence as provided in SEQ ID NO: 13 or SEQ ID NO: 15;

ii) an amino acid sequence which is at least 50% identical to SEQ ID NO: 13 and/or SEQ ID NO: 15; or

iii) a fragment of i) or ii) which binds the L1 domain of IR and/or the L1 domain of IGF-1R;

wherein the peptide has a helical structure.

The isolated peptides or mimetics of the invention may be conformationally constrained molecules or alternatively molecules which are not conformationally constrained such as, for example, non-constrained peptide sequences. The term “conformationally constrained molecules” means conformationally constrained peptides and conformationally constrained peptide analogues and derivatives.

The term “analogues” refers to molecules having a chemically analogous structure to naturally occurring α-amino acids. Examples include molecules containing gem-diaminoalkyl groups or alklylmalonyl groups.

The term “derivatives” includes α-amino acids wherein one or more side groups found in the naturally occurring α-amino acids have been modified. Thus, for example the amino acids may be replaced with a variety of uncoded or modified amino acids such as the corresponding D-amino acid or N-methyl amino acid. Other modifications include substitution of hydroxyl, thiol, amino and carboxyl functional groups with chemically similar groups.

With regard to peptides and mimetics thereof, other examples of other unnatural amino acids or chemical amino acid analogues/derivatives which can be introduced as a substitution or addition include, but are not limited to, 2,4-diaminobutyric acid, α-amino isobutyric acid, 4-aminobutyric acid, 2-aminobutyric acid, 6-amino hexanoic acid, 2-amino isobutyric acid, 3-amino propionic acid, ornithine, norleucine, norvaline, hydroxyproline, sarcosine, citrulline, homocitrulline, cysteic acid, t-butylglycine, t-butylalanine, phenylglycine, cyclohexylalanine, β-alanine, fluoro-amino acids, designer amino acids such as β-methyl amino acids, Cα-methyl amino acids, Nα-methyl amino acids, and amino acid analogues in general.

The mimetic may be a peptidomimetic. A “peptidomimetic” is a molecule that mimics the biological activity of a peptide but is no longer peptidic in chemical nature. By strict definition, a peptidomimetic is a molecule that no longer contains any peptide bonds (that is, amide bonds between amino acids). However, the term peptide mimetic is sometimes used to describe molecules that are no longer completely peptidic in nature, such as pseudo-peptides, semi-peptides and peptoids. Whether completely or partially non-peptide, peptidomimetics for use in the methods of the invention, and/or of the invention, provide a spatial arrangement of reactive chemical moieties that closely resembles the three-dimensional arrangement of active groups in the peptide on which the peptidomimetic is based. As a result of this similar active-site geometry, the peptidomimetic has effects on biological systems which are similar to the biological activity of the peptide.

There are sometimes advantages for using a mimetic of a given peptide rather than the peptide itself, because peptides commonly exhibit two undesirable properties: (1) poor bioavailability; and (2) short duration of action. Peptide mimetics offer an obvious route around these two major obstacles, since the molecules concerned are small enough to be both orally active and have a long duration of action. There are also considerable cost savings and improved patient compliance associated with peptide mimetics, since they can be administered orally compared with parenteral administration for peptides. Furthermore, peptide mimetics are generally cheaper to produce than peptides.

Suitable peptidomimetics based on the C-terminal region of the α-chain of IR and/or IGR-1R can be developed using readily available techniques. Thus, for example, peptide bonds can be replaced by non-peptide bonds that allow the peptidomimetic to adopt a similar structure, and therefore biological activity, to the original peptide. Further modifications can also be made by replacing chemical groups of the amino acids with other chemical groups of similar structure. The development of peptidomimetics derived from peptides of the C-terminal region of the IR and/or IGF-1R α-chain can be aided by reference to the three dimensional structure of these residues as provided in Appendixes I to IV. This structural information can be used to search three-dimensional databases to identify molecules having a similar structure, using programs such as Sybyl/3 DB Unity (Tripos Associates, St. Louis, Mo.).

Those skilled in the art will recognize that the design of a peptidomimetic may require slight structural alteration or adjustment of a chemical structure designed or identified using the methods of the invention. In general, chemical compounds identified or designed using the methods of the invention can be synthesized chemically and then tested for ability to modulate IR and/or IGF-1R activity using any of the methods described herein. The methods of the invention are particularly useful because they can be used to greatly decrease the number potential mimetics which must be screened for their ability to modulate IR and/or IGF-1R activity.

The peptides or peptidomimetics of the present invention can be used in assays for screening for candidate compounds which bind to regions of IR and/or IGF-1Rand potentially interfere with the binding of insulin to IR and/or signal transduction and/or the binding of IGF to IGF-1R and/or signal transduction. Peptides or peptidomimetics which mimic target binding sites are particularly useful as specific target molecules for identifying potentially useful ligands for IR and/or IGF-1R.

Standard solid-phase ELISA assay formats are particularly useful for identifying compounds that bind to the receptor. In accordance with this embodiment, the peptide or peptidomimetic immobilized on a solid matrix, such as, for example an array of polymeric pins or a glass support. Conveniently, the immobilized peptide or peptidomimetic is a fusion polypeptide comprising Glutathione-S-transferase (GST; e.g. a CAP-ERK fusion), wherein the GST moiety facilitates immobilization of the protein to the solid phase support. This assay format can then be used to screen for candidate compounds that bind to the immobilised peptide or peptidomimetic and/or interfere with binding of a natural binding partner of IR and/or IGF-1R to the immobilised peptide or peptidomimetic.

As used herein a “fragment” is a portion of a peptide of the invention which maintains a defined activity of the “full-length” peptide, namely the ability to bind to the low affinity binding site of IR and/or IGF-1R, or to bind to the L 1 domain of IR and/or IGF-1R. Fragments can be any size as long as they maintain the defined activity. Preferably, the fragment maintains at least 50%, more preferably at least 75%, of the activity of the full length polypeptide.

The % identity of a peptide is determined by GAP (Needleman and Wunsch, 1970) analysis (GCG program) with a gap creation penalty=5, and a gap extension penalty=0.3. The query sequence is at least 10 amino acids in length, and the GAP analysis aligns the two sequences over a region of at least 10 amino acids. More preferably, the GAP analysis aligns two sequences over their entire length.

With regard to a defined peptide, it will be appreciated that % identity figures higher than those provided above will encompass preferred embodiments. Thus, where applicable, in light of the minimum % identity figures, it is preferred that the peptide comprises an amino acid sequence which is at least 50%, more preferably at least 55%, more preferably at least 60%, more preferably at least 65%, more preferably at least 70%, more preferably at least 75%, more preferably at least 80%, more preferably at least 85%, more preferably at least 90%, more preferably at least 91%, more preferably at least 92%, more preferably at least 93%, more preferably at least 94%, more preferably at least 95%, more preferably at least 96%, more preferably at least 97%, more preferably at least 98%, more preferably at least 99%, more preferably at least 99.1%, more preferably at least 99.2%, more preferably at least 99.3%, more preferably at least 99.4%, more preferably at least 99.5%, more preferably at least 99.6%, more preferably at least 99.7%, more preferably at least 99.8%, and even more preferably at least 99.9% identical to the relevant nominated SEQ ID NO.

Amino acid sequence mutants of the peptides identified or designed using the methods of the invention, and/or of the present invention, can be prepared by introducing appropriate nucleotide changes into a nucleic acid of the present invention, or by in vitro synthesis of the desired peptide. Such mutants include, for example, deletions, insertions or substitutions of residues within the amino acid sequence. A combination of deletion, insertion and substitution can be made to arrive at the final construct, provided that the final peptide product possesses the desired characteristics.

In designing amino acid sequence mutants, the location of the mutation site and the nature of the mutation will depend on characteristic(s) to be modified. The sites for mutation can be modified individually or in series, e.g., by (1) substituting first with conservative amino acid choices and then with more radical selections depending upon the results achieved, (2) deleting the target residue, or (3) inserting other residues adjacent to the located site.

Substitution mutants have at least one amino acid residue in the peptide removed and a different residue inserted in its place. Sites of interest are those in which particular residues obtained from various strains or species are identical. These sites, especially those falling within a sequence of at least three other identically conserved sites, are preferably substituted in a relatively conservative manner. Such conservative substitutions are shown in Table 1 under the heading of “exemplary substitutions”.

TABLE 1 Exemplary substitutions. Original Exemplary Residue Substitutions Ala (A) val; leu; ile; gly Arg (R) lys Asn (N) gln; his Asp (D) glu Cys (C) ser Gln (Q) asn; his Glu (E) asp Gly (G) pro, ala His (H) asn; gln Ile (I) leu; val; ala Leu (L) ile; val; met; ala; phe Lys (K) arg Met (M) leu; phe Phe (F) leu; val; ala Pro (P) gly Ser (S) thr Thr (T) ser Trp (W) tyr Tyr (Y) trp; phe Val (V) ile; leu; met; phe, ala

In a preferred embodiment a mutant/variant peptide has one or two or three or four conservative amino acid changes when compared to a peptide defined herein. Details of conservative amino acid changes are provided in Table 1.

Also included within the scope of the invention are peptides which are differentially modified during or after synthesis, e.g., by biotinylation, benzylation, glycosylation, acetylation, phosphorylation, amidation, derivatization by known protecting/blocking groups, proteolytic cleavage, linkage to an antibody molecule or other cellular ligand, etc. These modifications may serve to increase the stability and/or bioactivity of the peptide.

The residues that form the IR segment 693-710 can be grouped into three classes:—Class A: those whose side chains are completely buried in the interface with L1 (viz. F701 and F705); Class B: those whose side chains lie at the periphery of the interface with L1 (viz. K694, E697, E698, S700, R702, T704, Y708 and L709); and Class C: those whose side chains appear to have no interaction with L1 (viz. L693, E695, L696, S699, K703, E706, D707 and H710). In terms of using the 693-710 peptide itself as a scaffold for mimetics that might compete with the C-terminal region of the IR α-chain peptide in its binding to the L1 domain, design might focus in the first instance on substitution of those residues in belonging to Class B, given that the two residues lying in Class A are relatively optimally packed within the interface and already have few degrees of freedom. Higher affinity binding might be achieved by substitution of one or more of the Class B residues with either naturally-occurring amino acids or non-natural amino acids. For example, the substitution of one or more of the charged residues K694, E697, E698 and R702 with residues that have reduced rotameric degrees of freedom (i.e. reduced entropy) may lead to higher affinity binding or altered physicochemical properties of the compound. Such modification for example may include substitution by the naturally occurring amino acids Phe, Tyr or Trp. As a further example, in the case of K694 and R702, it may be possible to substitute these residues by more bulky non-natural amino acids that retain the terminal cationic character, for example substitution by the basic phenyl propanoic acid derivatives App (L-2-amino-3-(4-aminophenyl)propanoic acid) and/or Gpp, (L-2-amino-3-(4-guanidinophenyl)propanoic acid) (Svenson et al., 2009). A further strategy for design might involve substitutions to improve the overall stability of the helical structure (for example helix stapling—see Danial et al., 2008). Such substitutions would likely be made within Class C residues. A yet further strategy to improve affinity or physicochemical properties might involve truncation of the helical segment and/or attaching an N- or C-terminal group also designed to improve affinity. Similar principles of design may be applied to generate modified peptides based on the native IGF-1R peptide 681-697 as outlined above for the IR peptide.

In a particularly preferred embodiment, a peptide or mimetic thereof of the invention does not comprise any one of the following described in U.S. Pat. No. 7,173,005:

a) X₁ X₂ X₃ X₄ X₅ wherein X₁, X₂, X₄ and X₅ are aromatic amino acids, and X₃ is any polar amino acid;

b) X₆ X₇ X_(g) X₉ X₁₀ X₁₁ X₁₂ X₁₃ wherein X₆ and X₇ are aromatic amino acids, X₈, X₉, X₁₁ and X₁₂ are any amino acid, and X₁₀ and X₁₃ are hydrophobic amino acids;

c) X₁₄ X₁₅ X₁₆ X₁₇ X₁₈ X₁₉ X₂₀ X₂₁ wherein X₁₄, and X₁₇ are hydrophobic amino acids, X₁₅, X₁₆, X₁₈ and X₁₉ are any amino acid, and X₂₀ and X₂₁, are aromatic amino acids;

d) X₂₂ X₂₃ X₂₄ X₂₅ X₂₆ X₂₇ X₂₈ X₂₉ X₃₀ X₃₁ X₃₂ X₃₃ X₃₄ X₃₅ X₃₆ X₃₇ X₃₈ X₃₉ X₄₀ X₄₁ wherein X₂₂, X₂₅, X₂₈, X₂₉, X₃₀, X₃₃, X₃₄, X₃₅, X₃₆, X₃₇, X₃₈, X₄₀, and X₄₁ are any amino acid, X₃₅ and X₃₇ may be any amino acid for binding to IR, whereas X₃₅ is preferably a hydrophobic amino acid and X₃₇ is preferably glycine for binding to IGF-1R and possess agonist or antagonist activity. X₂₃ and X₂₆ are hydrophobic amino acids. This sequence further comprises at least two cysteine residues, preferably at X₂₅ and X₄₀ X₃₁ and X₃₂ are small amino acids;

e) X₄₂ X₄₃ X₄₄ S₄₅ X₄₆ X₄₇ X₄₈ X₄₉ X₅₀ X_(5I) X₅₂ X₅₃ X₅₄ X₅₅ X₅₆ X₅₇ X₅₈ X₅₉ X₆₀ X₆₁ wherein X₄₂, X₄₃, X₄₄, X₄₅, X₅₃, X₅₅, X₅₆, X₅₈, X₆₀ and X₆₁ may be any amino acid, X₄₃, X₄₆) X₄₉, X₅₀, X₅₄ are hydrophobic amino acids, X₄₇ and X₅₉ are preferably cysteines, X₄₈ is a polar amino acid, and X₅₁, X₅₂ and X₅₇ are small amino acids;

f) X₆₂ X₆₃ X₆₄ X₆₅ X₆₆ X₆₇ X₆₈ X₆₉ X₇₀ X₇₁ X₇₂ X₇₃ X₇₄ X₇₅ X₇₆ X₇₇ X₇₈ X₇₉ X₈₀ X₈₁ wherein X₆₂, X₆₅, X₆₈, X₆₉, X₇₁, X₇₃, X₇₆, X₇₇, X₇₈, X₈₀, and X₈₁ may be any amino acid; X₆₃, X₇₀, X₇₄ are hydrophobic amino acids; X₆₄ is a polar amino acid, X₆₇ and X₇₅ are aromatic amino acids and X₇₂ and X₇₉ are preferably cysteines capable of forming a loop;

g) H X₈₂ X₈₃ X₈₄ X₈₅ X₈₆ X₈₇ X₈₈ X₈₉ X₉₀ X₉₁ X₉₂ wherein X₈₂ is proline or alanine, X₈₃ is a small amino acid, X₈₄ is selected from leucine, serine or threonine, X₈₅ is a polar amino acid, X₈₆, X₈₈, X₈₉ and X₉₀ are any amino acid, and X₈₇, X₉₁ and X₉₂ are an aliphatic amino acid;

h) X₁₀₄ X₁₀₅ X₁₀₆ X₁₀₇ X₁₀₈ X₁₀₉ X₁₁₀ X₁₁₁ X₁₁₂ X₁₁₃ X₁₁₄ wherein at least one of the amino acids of X₁₀₆ through X₁₁₁, and preferably two, are tryptophan separated by three amino acids, and wherein at least one of X₁₀₄, X₁₀₅ and X₁₀₆ and at least one of X₁₁₂, X₁₁₃ and X₁₁₄ are cysteine;

i) an amino acid sequence comprising the sequence JBA5: DYKDLCQSWGVRIGWLAGLCPKK or JBA5 minus FLAG® tag and terminal lysines: LCQSWGVRIGWLAGLCP (Formula 9); and

j) W X₁₂₃ G Y X₁₂₄ W X₁₂₅ X₁₂₆ wherein X₁₂₃ is selected from proline, glycine, serine, arginine, alanine or leucine, but more preferably proline; X₁₂₄ is any amino acid, but preferably a charged or aromatic amino acid; X₁₂₅ is a hydrophobic amino acid preferably leucine or phenylalanine, and most preferably leucine. X₁₂₆ is any amino acid, but preferably a small amino acid.

In a further preferred embodiment, a peptide or mimetic thereof of the invention is more structurally similar to the native C-terminal region of the α-chain of IR and/or the C-terminal region of the α-chain of IGF-1R than it is to any one of a) to j) above (such as the peptides provided as SEQ ID Nos: 16 to 18).

The design of synthetic non-peptide mimetics of α-helices is an established art (see for example Davis et al., 2006). In particular, methods of mimicry of i, i+4, i+7 motifs (such as those identified within the C-terminal helical region of the α-chain of IR and IGF-1R and which interact the respective L1 domains (i.e. IR residues Phe701, Phe705, Tyr708 and IGF-1R residues Tyr688, Phe 692, Phe 695) are known. For example, these motifs may be mimicked by terphenyl, oligophenyl, chalcone or 1,4-benzodiazepine-2,5-dione scaffolds (Davis et al., 2006) or by benzoylurea scaffolds (US 2008153802). Non-peptide mimetics of α-helices have been investigated as therapeutics in a number of disease contexts, for example HIV1 infection (disruption of the assembly of the hexameric helical bundle (Ernst et al., 2001)) and cancer (disruption of the assembly of the HDM2-p53 complex (Yin et al., 2005); inhibitors of Bc1-2 family heterodimerisation (Degterev et al., 2001).

With regard to redesigning compounds using a method of the invention, in an embodiment the compound is redesigned to be more structurally similar to the native C-terminal region of the α-chain of IR and/or the C-terminal region of the α-chain of IGF-1R. Examples of peptides which could be redesigned in this manner include, but are not limited to, those described by Schäffer et al. (2003) and/or U.S. Pat. No. 7,173,005 (see above).

Interaction of Compounds with IR and/or IGF-1R

A compound may interact with the low affinity binding site of IR and/or IGF-1R by binding either directly or indirectly to that region. A compound which binds directly, binds to the specified region. A compound which binds indirectly, binds to a region in close proximity to or adjacent to the low affinity binding site of IR and/or IGF-1R with the result that it interferes with the ability of IR to bind to insulin, or IGF-1R to bind IGF, either antagonistically or agonistically. Such interference may be steric, electrostatic, or allosteric. Preferably, a compound interacts with the low affinity binding site of IR and/or IGF-1R by binding directly to the specified region. In the case of compounds that bind to specific target molecules, such compounds bind directly to the specific target molecule.

A compound may alternatively interact with the L1 domain of IR and/or IGF-1R in a manner similar to that of the C-terminal region of the α-chain of IR and/or IGF-1R by binding either directly or indirectly to that region. A compound which binds directly, binds to the specified region. A compound which binds indirectly, binds to a region in close proximity to or adjacent to the L1 domain of IR and/or IGF-1R in a manner similar to that of the C-terminal region of the α-chain of IR and/or IGF-1R with the result that it interferes with the ability of IR to bind to insulin, or IGF-1R to bind IGF, either antagonistically or agonistically. Such interference may be steric, electrostatic, or allosteric. Preferably, a compound interacts with the L1 domain of IR and/or IGF-1R in a manner similar to that of the C-terminal region of the α-chain of IR and/or IGF-1R by binding directly to the specified region. In the case of compounds that bind to specific target molecules, such compounds bind directly to the specific target molecule.

Binding can be either by covalent or non-covalent interactions, or both. Examples of non-covalent interactions include electrostatic interactions, van der Waals interactions, hydrophobic interactions and hydrophilic interactions.

When a compound of the invention interacts with IR and/or IGF-1R, it preferably “modulates” IR or IGF-1R, respectively. By “modulate” we mean that the compound changes an activity of IR or IGF-1R by at least 10%. Suitably, a compound modulates IR or IGF-1R by increasing or decreasing signal transduction via IR or IGF-1R, respectively. The phrase “decreases signal transduction” is intended to encompass partial or complete inhibition of signal transduction via IR or IGF-1R. The ability of a candidate compound to increase or decrease signal transduction via IR or IGF-1R can be assessed by any one of the IR or IGF-1R cell-based assays described herein.

Compounds may act as antagonists or agonists for insulin binding to IR or as antagonists or agonists for IGF binding to IGF-1R.

Compounds of the present invention preferably have an affinity for IR or IGF-1R sufficient to provide adequate binding for the intended purpose. Suitably, such compounds and compounds which bind to specific target molecules of IR or IGF-1R have an affinity (K_(d)) of from 10⁻⁵ to 10⁻¹⁵ M. For use as a therapeutic, the compound suitably has an affinity (K_(d)) of from 10⁻⁷ to 10⁻¹⁵ M, preferably from 10⁻⁸ to 10⁻¹² M and more preferably from 10⁻¹⁰ to 10⁻¹² M. Where a compound is to be used as a reagent in a competitive assay to identify other ligands, the compound suitably has an affinity (IQ) of from 10⁻⁵ to 10⁻¹² M.

As will be evident to the skilled person, the crystal structures presented herein have enabled, for the first time, direct comparison of the regions controlling insulin or IGF binding in the closely related IR and IGF-1R. The structures have enabled the identification of the C-terminal region of the α-chain of IR and IGF-1R, critical for the initial binding of insulin or IGF, respectively, and in the subsequent formation of the high affinity insulin-IR or IGF-IGF-1R complex that leads to signal transduction.

In one preferred embodiment, a compound has a high specificity for IR and/or a specific target molecule of IR but not for IGF-1R, i.e. a compound selectively binds to IR or has enhanced selectivity for IR over IGF-1R. In this respect; a compound suitably has an affinity (IQ) for IR and/or a specific target molecule of IR of no more than 10⁻⁵ M, preferably no more than 10⁻⁷ M, and an affinity for IGF-1R of at least 10⁻⁵ M, preferably at least 10⁻³ M. Such compounds are desirable as, for example, IR agonists where the propensity to interact with IGF-1Rand thus, for example, promote undesirable cell proliferation, is reduced.

In a preferred embodiment, the (IR or specific target molecule of IR)/IGF-1R binding affinity ratio for a compound is at least 10 and preferably at least 100.

In another preferred embodiment, a compound has a high specificity for IGF-1R and/or a specific target molecule of IGF-1R but not for IR, i.e. a compound selectively binds to IGF-1R or has enhanced selectivity for IGF-1R over IR. In this respect, a compound suitably has an affinity (k_(d)) for IGF-1R and/or a specific target molecule of IGF-1R of no more than 10⁻⁵ M, preferably no more than 10⁻⁷ M, and an affinity for IR of at least 10⁻⁵ M, preferably at least 10⁻³ M. Such compounds are desirable as, for example, IGF-1R agonists where there propensity to interact with IR and thus, for example, promote glucose uptake and metabolism, is reduced.

In a preferred embodiment, the (IGF-1R or specific target molecule of IGF-1R)/(IR) binding affinity ratio for a compound is at least 10 and preferably at least 100.

Screening Assays and Confirmation of Binding

Compounds of the invention may be subjected to further confirmation of binding to IR and/or IGF-1R by cocrystallization of the compound with IR and/or IGF-1Rand structural determination, as described herein.

Compounds designed or selected according to the methods of the present invention are preferably assessed by a number of in vitro and in vivo assays of IR and/or IGF-1R function to confirm their ability to interact with and modulate IR and/or IGF-1R activity. For example, compounds may be tested for their ability to bind to IR and/or IGF-1R and/or for their ability to modulate e.g. disrupt, IR and/or IGF-1R signal transduction.

Libraries may be screened in solution by methods generally known in the art for determining whether ligands competitively bind at a common binding site. Such methods may include screening libraries in solution (e.g., Houghten, 1992), or on beads (Lam, 1991), chips (Fodor, 1993), bacteria or spores (U.S. Pat. No. 5,223,409), plasmids (Cull et al., 1992), or on phage (Scott & Smith, 1990; Devlin, 1990; Cwirla et al., 1990; Felici, 1991; U.S. Pat. No. 5,223,409).

Where the screening assay is a binding assay, IR or IGF-1R may be joined to a label, where the label can directly or indirectly provide a detectable signal. Various labels include radioisotopes, fluorescent molecules, chemiluminescent molecules, enzymes, specific binding molecules, particles, e.g., magnetic particles, and the like. Specific binding molecules include pairs, such as biotin and streptavidin, digoxin and antidigoxin, etc. For the specific binding members, the complementary member would normally be labeled with a molecule that provides for detection, in accordance with known procedures.

A variety of other reagents may be included in the screening assay. These include reagents like salts, neutral proteins, e.g., albumin, detergents, etc., which are used to facilitate optimal protein-protein binding and/or reduce non-specific or background interactions. Reagents that improve the efficiency of the assay, such as protease inhibitors, nuclease inhibitors, antimicrobial agents, etc., may be used. The components are added in any order that produces the requisite binding. Incubations are performed at any temperature that facilitates optimal activity, typically between 4 and 40° C.

Direct binding of compounds to IR or IGF-1R can also be done by Surface Plasmon Resonance (BIAcore) (reviewed in Morton & Myszka, 1998). Here the receptor is immobilized on a CM5 or other sensor chip by either direct chemical coupling using amine or thiol-disulphide exchange coupling (Nice & Catimel, 1999) or by capturing the receptor ectodomain as an Fc fusion protein to an appropriately derivatised sensor surface (Morten & Myszka, 1998). The potential binding molecule (called an analyte) is passed over the sensor surface at an appropriate flow rate and a range of concentrations. The classical method of analysis is to collect responses for a wide range of analyte concentrations. A range of concentrations provides sufficient information about the reaction, and by using a fitting algorithm such as CLAMP (see Morton & Myszka, 1998), rate constants can be determined (Morton & Myszka, 1998; Nice & Catimel, 1999). Normally, the ligand surface is regenerated at the end of each analyte binding cycle. Surface regeneration ensures that the same number of ligand binding sites is accessible to the analyte at the beginning of each cycle.

Incubation periods are selected for optimum activity, but may also be optimized to facilitate rapid high-throughput screening. Normally, between 0.1 and 1 hour will be sufficient. In general, a plurality of assay mixtures is run in parallel with different test agent concentrations to obtain a differential response to these concentrations. Typically, one of these concentrations serves as a negative control, i.e. at zero concentration or below the level of detection.

The basic format of an in vitro competitive receptor binding assay as the basis of a heterogeneous screen for small organic molecular replacements for insulin may be as follows: occupation of the low affinity binding site of IR and/or IGF-1R is quantified by time-resolved fluorometric detection (TRFD) as described by Denley et al., 2004. R⁻IR-A, R³¹IR-B and P6 cells are used as sources of IR-A, IR-B and IGF-1R respectively. Cells are lysed with lysis buffer (20 mM HEPES, 150 mM NaCl, 1.5 mM MgCl₂, 10% (v/v) glycerol, 1% (v/v) Triton X-100, 1 mM EGTA pH 7.5) for 1 hour at 4° C. Lysates are centrifuged for 10 minutes at 3500 rpm and then 100 μl is added per well to a white Greiner Lumitrac 600 plate previously coated with anti-insulin receptor antibody 83-7 or anti-IGF-1R antibody 24-31. Neither capture antibody interferes with receptor binding by insulin, IGF-I or IGF-II. Approximately 100,000 fluorescent counts of europium-labelled insulin or europium-labelled IGF-I are added to each well along with various amounts of unlabelled competitor and incubated for 16 hours at 4° C. Wells are washed with 20 mM Tris, 150 mM NaCl, 0.05% (v/v) Tween 20 (TBST) and DELFIA enhancement solution (100 μl/well) is added. Time-resolved fluorescence is measured using 340 nm excitation and 612 nm emission filters with a BMG Lab Technologies Polarstar™ Fluorimeter or a Wallac Victor II (EG & G Wallac, Inc.).

Examples of other suitable assays which may be employed to assess the binding and biological activity of compounds to and on IR are well known in the art. For example, suitable assays may be found in PCT International Publication Number WO 03/027246. Examples of suitable assays include the following:

(i) Receptor autophosphorylation (as described by Denley et al., 2004). R⁻IR-A, R-IR-B cells or P6 cells are plated in a Falcon 96 well flat bottom plate at 2.5×10⁴ cells/well and grown overnight at 37° C., 5% CO₂. Cells are washed for 4 hours in serum-free medium before treating with one of either insulin, IGF-I or IGF-II in 100 μl DMEM with 1% BSA for 10 minutes at 37° C., 5% CO₂. Lysis buffer containing 2 mM Na₃VO₄ and 1 mg/ml NaF is added to cells and receptors from lysates are captured on 96 well plates precoated with antibody 83-7 or 24-31 and blocked with 1×TBST/0.5% BSA. After overnight incubation at 4° C., the plates are washed with 1×TBST. Phosphorylated receptor is detected with europium-labelled antiphosphotyrosine antibody PY20 (130 ng/well, room temperature, 2 hours). DELFIA enhancement solution (100 μl/well) is added and time resolved fluorescence detected as described above.

(ii) Glucose uptake using 2-deoxy-[U-14C] glucose (as described by Olefsky, 1978). Adipocytes between days 8-12 post-differentation in 24-well plates are washed twice in Krebs-Ringer Bicarbonate Buffer (25 mM Hepes, pH 7.4 containing 130 mM NaCl, 5 mM KCl, KH₂PO₄, 1.3 mM MgSO₄.7H₂O, 25 mM NaHCO₃ and 1.15 mM CaCl₂) supplemented with 1% (w/v) RIA-grade BSA and 2 mM sodium pyruvate. Adipocytes are equilibrated for 90 min at 37° C. prior to insulin addition, or for 30 mM prior to agonist or antagonist addition. Insulin (Actrapid, Novogen) is added over a concentration range of 0.7 to 70 nM for 30 mM at 37° C. Agonist or antagonist (0 to 500 μM) is added to adipocytes for 90 min followed by the addition of insulin in the case of antagonists. Uptake of 50 μM 2-deoxy glucose and 0.5 μCi 2-deoxy-[U-¹⁴C] glucose (NEN, PerkinElmer Life Sciences) per well is measured over the final 10 mM of agonist stimulation by scintillation counting.

(iii) Glucose transporter GLUT4 translocation using plasma membrane lawns (as described by Robinson & James (1992) and Marsh et al. (1995)).

(iv) GLUT4 translocation using plasma membrane lawns (as described by Marsh et al., 1995). 3T3-L1 fibroblasts are grown on glass coverslips in 6-well plates and differentiated into adipocytes. After 8-12 days post-differentiation, adipocytes are serum-starved for 18 hrs in DMEM containing 0.5% FBS. Cells are washed twice in Krebs-Ringer Bicarbonate Buffer, pH 7.4 and equilibrated for 90 min at 37° C. prior to insulin (100 nM) addition, or for 30 min prior to compound (100 μM) addition. After treatments, adipocytes are washed in 0.5 mg/ml poly-L-lysine in PBS, shocked hypotonically by three washes in 1:3 (v/v) membrane buffer (30 mM Hepes, pH 7.2 containing 70 mM KCl, 5 mM MgCl₂, 3 mM EGTA and freshly added 1 mM DTT and 2 mM PMSF) on ice. The washed cells are then sonicated using a probe sonicator (Microson) at setting 0 in 1:1 (v/v) membrane buffer on ice, to generate a lawn of plasma membrane fragments that remain attached to the coverslip. The fragments are fixed in 2% (w/v) paraformaldehyde in membrane buffer for 20 mM at 22° C. and the fixative quenched by 100 mM glycine in PBS. The plasma membrane fragments are then blocked in 1% (w/v) Blotto in membrane buffer for 60 min at 22° C. and immunolabelled with an in-house rabbit affinity purified anti-GLUT4 polyclonal antibody (clone R10, generated against a peptide encompassing the C-terminal 19 amino acids of GLUT4) and Alexa 488 goat anti-rabbit secondary antibody (Molecular Probes; 1:200). Coverslips are mounted onto slides using FluoroSave reagent (Calbiochem), and imaged using an OptiScan confocal laser scanning immunofluoroscence microscope (Optiscan, VIC., Australia). Data are analysed using ImageJ (NIH) imaging software. At least six fields are examined within each experiment for each condition, and the confocal microscope gain settings over the period of experiments are maintained to minimise betweenexperiment variability.

Insulin agonist activity may be determined using an adipocyte assay. Insulin increases uptake of ³H glucose into adipocytes and its conversion into lipid. Incorporation of ³H into a lipid phase is determined by partitioning of lipid phase into a scintillant mixture, which excludes water-soluble ³H products. The effect of compounds on the incorporation of ³H glucose at a sub-maximal insulin dose is determined, and the results expressed as increase relative to full insulin response. The method is adapted from Moody et al., (1974). Mouse epididymal fat pads are dissected out, minced into digestion buffer (Krebs-Ringer 25 mM HEPES, 4% HSA, 1.1 mM glucose, 0.4 mg/ml Collagenase Type 1, pH 7.4), and digested for up to 1.5 hours at 36.5 C. After filtration, washing (Krebs-Ringer HEPES, 1% HSA) and resuspension in assay buffer (Krebs-Ringer HEPES, 1% HSA), free fat cells are pipetted into 96-well Picoplates containing test solution and approximately an ED₂₀ insulin.

The assay is started by addition of ³H glucose (e.g. ex. Amersham TRK 239), in a final concentration of 0.45 mM glucose. The assay is incubated for 2 hours at 36.5° C., in a Labshaker incubation tower, 400 rpm, then terminated by the addition of Permablend/Toluene scintillant (or equivalent), and the plates sealed before standing for at least 1 hour and detection in a Packard Top Counter or equivalent. A full insulin standard curve (8 dose) is run as control on each plate.

Data are presented graphically, as the effect of the compound on an (approximate). ED₂₀ insulin response, with data normalized to a full insulin response. The assay can also be run at basal or maximal insulin concentration.

To test the in vivo activity of a compound, an intravenous blood glucose test may be carried out on Wistar rats as follows. Male Mol: Wistar rats, weighing about 300 g, are divided into two groups. A 10 μl sample of blood is taken from the tail vein for determination of blood glucose concentration. The rats are then anaesthetized (e.g. with Hypnorm/Dormicum) at t=30 min and blood glucose measured again at t=−20 min and at t=0 min. After the t=0 sample is taken, the rats are injected into the tail vein with vehicle or test substance in an isotonic aqueous buffer at a concentration corresponding to a 1 ml/kg volume of injection. Blood glucose is measured at times 10, 20, 30, 40, 60, 80, 120 and 180 min. The anaesthetic administration is repeated at 20 min intervals.

Additional assays to determine the effect of binding molecules on IGF-1R activity are as follows:

(i) Cell Viability Assay on HT29 Cells with Induction of Apoptosis:

The ability of compounds to inhibit IGF-mediated rescue from apoptosis is measured using the colorectal cell line HT29 cells (ATCC: HTB 38) after induction with Na Butyrate. The HT29 cells are plated out onto white Fluoronunc 96 well plates (Nunc) at 12,000 cells/ml and incubated at 37° C., 5% CO₂ for 48 hours. Media is aspirated and 100 μl/well of serum free DMEM/F12 is added for 2 hours to serum starve cells. IGF (100₁₁1/well 0.05-50 nM dilutions) in the presence and the absence of inhibitory compound is added in 0.1% BSA solution (Sigma) in DMEM/F12 (Gibco) in triplicate. A final concentration of 5 mM Butyrate (Sigma) is added to each well. Plates are incubated at 37° C., 5% CO₂ for a further 48 hours. Plates are brought to room temperature and developed (as per instructions for CTG Assay (Promega)). Luminescence signal is measured on the Polarstar plate reader and data is evaluated using table curve to obtain the specific ED50.

(ii) Cell Migration Assay:

The migration assays are performed in the modified 96-well Boyden chamber (Neuroprobe, Bethesda, Mass.). An 8 μM polycarbonate filter, which is pre-soaked in 25 μg/ml of collagen in 10 mM acetic acid overnight at 4° C., is placed so as to divide the chamber into an upper & lower compartment. Varying concentrations of the IGF-I analogues (25 μl of 0-100 nM) diluted in RPMI (Gibco) with 0.5% BSA (Sigma) tested for their migration inducing ability, are placed in the lower compartment in quadruplicates. The wells of the upper chamber are seeded with 50 μl/well of 2×10⁵ SW480 (ATCC:CCL 228) pre-incubated for 30 mins/37° C. with 1.1 of 2 μM Calcein (Molecular Probes). Cells migrate for 8 hours at 37° C., 5% CO₂. Unmigrated cells are removed by wiping the filter. The filter is then analysed in the Polarstar for fluorescence at excitation wavelength of 485 nm and emission wavelength of 520 nm. Data is evaluated using table curve to obtain the specific ED50 value.

(iii) Mouse Xenograft Studies for Anti-IGF-1R Antibodies:

In vivo studies are performed in 56-week-old female athymic BALBc nude mice, homozygous for the nunu allele. Mice are maintained in autoclaved micro-isolator cages housed in a positive pressure containment rack (Thoren Caging Systems Inc., Hazelton, Pa., USA. To establish xenografts, mice are injected subcutaneously into the left inguinal mammary line with 3×10⁶ or 5×10⁶ cells in 100 μl of PBS. Tumour volume (TV) is calculated by the formula (length×width²)/2 (Clarke et al., 2000), where length is the longest axis and width the measurement at right angles to length.

Initial biodistribution of potential binding molecules are ascertained by injecting 40 BALBc nude mice with established xenografts with radiolabelled ¹¹¹In- or ¹²⁵I-anti-IGFR antibody (3 μg, 10 μCi) intravenously via the tail vein (total volume=0.1 ml). At designated time points after injection of the radioconjugates (t=4 h, days 1, 2, 3, 5 and 7), groups of mice (n=35) are killed by Ethrane anaesthesia. Mice are then exsanguinated by cardiac puncture, and tumours and organs (liver, spleen, kidney, muscle, skin, bone (femur), lungs, heart, stomach, brain, small bowel, tail and colon) are resected immediately. All samples are counted in a dual gamma scintillation counter (Packard Instruments). Triplicate standards prepared from the injected material are counted at each time point with tissue and tumour samples enabling calculations to be corrected for the physical decay of the isotopes. The tissue distribution data are calculated as the mean±s.d percent injected dose per gram tissue (% ID g⁻¹) for the candidate molecule per time point.

Pharmacokinetics for the candidate compounds are ascertained as follows: Serum obtained from mice bearing xenografts, following infusion of radiolabelled-binding molecule as described above, is aliquoted in duplicate and counted in a gamma scintillation counter (Packard Instruments, Melbourne, Australia). Triplicate standards prepared from the injected material are counted at each time point with serum samples to enable calculations to be corrected for the isotope physical decay. The results of the serum are expressed as % injected dose per litre (% ID 1 ⁻¹) Pharmacokinetic calculations are performed of serum data using a Curve fitting program (WinNonlin, Pharsight Co., Mountain View, Calif., USA). A two-compartment model is used to calculate serum pharmacokinetic parameters of AUC (area under the serum concentration curve extrapolated to infinite time), CL (total serum clearance), T_(12α) and T_(12β) (half-lives of the initial and terminal phases of disposition) for ¹²⁵I- and ¹¹¹In-labelled molecule.

(iv) Therapeutic In Vivo Studies:

Tumour cells (3×10⁶) in 100 μl of media are inoculated subcutaneously into both flanks of 46-week-old female nude mice (n=5 group⁻¹). Candidate molecule treatment commences day 7 post-tumour cell inoculations (meant±s.e. tumour volume=60×15 mm³) and consists of six intraperitoneal injections over 2 weeks of appropriate amounts of the candidate molecule or vehicle control. Tumour volume in mm³ is determined as described previously. Data is expressed as mean tumour volume for each treatment group. Differences in tumour size between control and test groups are tested for statistical significance (P<0.05) by t-test.

Uses of Compounds

Compounds/chemical entities designed or selected by the methods of the invention described above may be used to modulate IR and/or IGF-1R activity in cells, i.e. activate or inhibit IR and/or IGF-1R activity. Such compounds may interact with the low affinity binding sites of IR and/or IGF-1R as defined herein, or mimic the C-terminal region of the α-chain of IR and/or IGF-1R as defined herein. They may also be used to modulate homodimerisation of IR and/or IGF-1R.

Modulation of homodimerisation of IR and/or IGF-1R may be achieved by direct binding of the chemical entity to a homodimerisation surface of IR and/or IGF-1R, and/or by an allosteric interaction elsewhere in the IR and/or IGF-1R extracellular domain.

Given that aberrant IR and/or IGF-1R activity is implicated in a range of disorders, the compounds described above may also be used to treat, ameliorate or prevent disorders characterised by abnormal IR and/or IGF-1R signalling. Examples of such disorders include malignant conditions including tumours of the brain, head and neck, prostate, ovary, breast, cervix, lung, pancreas and colon; and melanoma, rhabdomyosarcoma, mesothelioma, squamous carcinomas of the skin and glioblastoma.

The compounds designed to interact or identified as interacting with the extracellular domain of IR and/or IGF-1R, and in particular to interact with the target binding sites, are useful as agonists or antagonists against the action of insulin on IR and/or IGF on IGF-1R. The compounds are useful as assay reagents for identifying other useful ligands by, for example, competition assays, as research tools for further analysis of IR and/or IGF-1R and as potential therapeutics in pharmaceutical compositions.

Compounds provided by this invention are also useful as lead compounds for identifying other more potent or selective compounds. The mimetic compounds of the present invention are also potentially useful as inhibitors of the action of insulin and in the design of assay kits directed at identifying compounds capable of binding to the low affinity binding site for insulin on IR. The mimetic compounds of the present invention are also potentially useful as inhibitors of the action of IGF and in the design of assay kits directed at identifying compounds capable of binding to the low affinity binding site for IGF on IGF-1R. In particular, it is envisaged that compounds of the present invention will prove particularly useful in selecting/designing ligands which are specific for IR or IGF-1R.

In one embodiment, one or more of the compounds can be provided as components in a kit for identifying other ligands (e.g., small, organic molecules) that bind to IR or IGF-1R. Such kits may also comprise IR or IGF-1R, or functional fragments thereof. The compound and receptor components of the kit may be labeled (e.g. by radioisotopes, fluorescent molecules, chemiluminescent molecules, enzymes or other labels), or may be unlabeled and labelling reagents may be provided. The kits may, also contain peripheral reagents such as buffers, stabilizers, etc. Instructions for use can also be provided.

IR and IGF-1R agonists and antagonists, and in particular antagonists, provided by this invention are potentially useful as therapeutics. For example, compounds are potentially useful as treatments for cancers, including, but not limited to, breast, prostate, colorectal, and ovarian cancers. Human and breast cancers are responsible for over 40,000 deaths per year, as present treatments such as surgery, chemotherapy, radiation therapy, and immunotherapy show limited success. Recent reports have shown that a previously identified IGF-1R antagonist can suppress retinal neovascularization, which causes diabetic retinopathy (Smith et al., 1999). IGF-1R agonist compounds (I.e. existing IGF-1R compounds which have been modified employing methods of the present invention) are useful for development as treatments for neurological disorders, including stroke and diabetic neuropathy. Reports of several different groups implicate IGF-1R in the reduction of global brain ischemia, and support the use of IGF-I for the treatment of diabetic neuropathy (reviewed in Auer et al., 1998; Apfel, 1999). A number of therapeutics directed against IGF-1R are currently undergoing clinical trial as anti-cancer agents (Hewish et al., 2009)

The IGF-1R agonist peptides of the invention may be useful for enhancing the survival of cells and/or blocking apoptosis in cells.

Administration

Compounds of the invention, i.e. ligands of the invention or modulators of IR and/or IGF-1R identified or identifiable by the screening methods of the invention, may preferably be combined with various components to produce compositions of the invention. Preferably the compositions are combined with a pharmaceutically acceptable carrier or diluent to produce a pharmaceutical composition (which may be for human or animal use).

The formulation will depend upon the nature of the compound and the route of administration but typically they can be formulated for topical, parenteral, intramuscular, oral, intravenous, intra-peritoneal, intranasal inhalation, lung inhalation, intradermal or intra-articular administration. The compound may be used in an injectable form. It may therefore be mixed with any vehicle which is pharmaceutically acceptable for an injectable formulation, preferably for a direct injection at the site to be treated, although it may be administered systemically.

The pharmaceutically acceptable carrier or diluent may be, for example, sterile isotonic saline solutions, or other isotonic solutions such as phosphate-buffered saline. The compounds of the present invention may be admixed with any suitable binder(s), lubricant(s), suspending agent(s), coating agent(s), solubilising agent(s). It is also preferred to formulate the compound in an orally active form.

In general, a therapeutically effective daily oral or intravenous dose of the compounds of the invention, including compounds of the invention and their salts, is likely to range from 0.01 to 50 mg/kg body weight of the subject to be treated, preferably 0.1 to 20 mg/kg. The compounds of the invention and their salts may also be administered by intravenous infusion, at a dose which is likely to range from 0.001-10 mg/kg/hr.

Tablets or capsules of the compounds may be administered singly or two or more at a time, as appropriate. It is also possible to administer the compounds in sustained release formulations.

Typically, the physician will determine the actual dosage which will be most suitable for an individual patient and it will vary with the age, weight and response of the particular patient. The above dosages are exemplary of the average case. There can, of course, be individual instances where higher or lower dosage ranges are merited, and such are within the scope of this invention.

For some applications, preferably the compositions are administered orally in the form of tablets containing excipients such as starch or lactose, or in capsules or ovules either alone or in admixture with excipients, or in the form of elixirs, solutions or suspensions containing flavouring or colouring agents.

The compositions (as well as the compounds alone) can also be injected parenterally, for example intravenously, intramuscularly or subcutaneously. In this case, the compositions will comprise a suitable carrier or diluent.

For parenteral administration, the compositions are best used in the form of a sterile aqueous solution which may contain other substances, for example enough salts or monosaccharides to make the solution isotonic with blood.

For buccal or sublingual administration the compositions may be administered in the form of tablets or lozenges which can be formulated in a conventional manner.

For oral, parenteral, buccal and sublingual administration to subjects (such as patients), the daily dosage level of the compounds of the present invention and their pharmaceutically acceptable salts and solvates may typically be from 10 to 500 mg (in single or divided doses). Thus, and by way of example, tablets or capsules may contain from 5 to 100 mg of active compound for administration singly, or two or more at a time, as appropriate. As indicated above, the physician will determine the actual dosage which will be most suitable for an individual patient and it will vary with the age, weight and response of the particular patient.

The routes of administration and dosages described are intended only as a guide since a skilled practitioner will be able to determine readily the optimum route of administration and dosage for any particular patient depending on, for example, the age, weight and condition of the patient.

EXAMPLES

Example 1

A Thermodynamic Study of Ligand Binding to the First Three Domains of The Human Insulin Receptor (IR): Relationship Between the IR α-Chain C-Terminal Peptide (αCT) and the Site 1 Insulin Mimetic Peptides 1.1 Introduction

In order to study ligand binding to the first three domains of IR ectodomain, isothermal titration calorimetry (ITC) was used. ITC allowed a direct assay of the interactions between the IR ectodomain classical αCT peptide (residues 704-719; SEQ ID NO: 11) and IR485 (a construct consisting of the first three N-terminal domains of the IR; SEQ ID NO: 10), as well as the interaction between the analogous peptide of human IGF-1Rand IR485. At the same time the thermodynamics of binding of the N- and C-terminal segments of the insulin mimetic peptide S519 (Schäffer et al., 2003) to IR485, as well as the binding of S519 itself to IR485 were examined. S519 (SLEEEWAQVECEVYGRGCPSGSLDESFYDWFERQLG; SEQ ID NO: 16) is a 36-residue peptide resulting from the affinity-optimization of two covalently-linked peptides, S371, a so-called “Site 1” peptide, and S446, a so-called “Site 2” peptide (Pillutla et al., 2002). S519 binds human IR with k_(d)=2.0×10⁻¹¹ (Schäffer et al., 2003). Taken together, the results revealed a remarkable relationship between the IR αCT peptide and the Site 1 mimetic peptide, and suggested a previously undetected structural similarity between the mimetic peptides and insulin itself (Ward and Lawrence, 2009). Finally, the binding to IR485 of the IR αCT peptide carrying a F714A mutation (residues 704-719, TFEDYLHNVVAVPRPS; SEQ ID NO: 12) was examined.

1.2 Materials and methods for thermodynamic experiments

Reagents

The IR485 construct of human IR was expressed in Lec8 mutant CHO cells and purified by gel filtration chromatography as described previously (Lou et al., 2006). IR485 consists of the first 485 residues of the mature human insulin receptor followed by the 16-residue sequence SDDDDKEQKLISEEDLN (SEQ ID NO: 10), which comprises a serine residue followed by an enterokinase cleavage site and a c-myc epitope tag. The c-myc tag was not removed for the ITC studies described here. IR485 was concentrated to 30 mg/ml in Tris-buffered saline (TBSA; 24.8 mM Tris-HCl (pH 8.0), 137 mM NaCl, 2.7 mM KCl and 0.02% sodium azide) using an Ultrafree centrifugal concentrator (Millipore, USA). Porcine insulin (Sigma-Aldrich, USA) was prepared in a zinc-free-form (termed ZFP-insulin) by extensive dialysis against 0.1% (v/v) acetic acid followed by lyophilization. Human IGF-I was obtained from Novozymes GroPep (Australia) as “receptor grade” material.

The IR classical αCT peptide (residues 704-719, TFEDYLHNVVFVPRPS; SEQ ID NO: 11), the IGF-1R classical αCT peptide (residues 691-706, VFENFLHNSIFVPRPE; SEQ ID NO: 14) as well as the F714A mutant of IR αCT (denoted IR αCT.714A; SEQ ID NO: 12) were obtained from Genscript Corporation (USA) at the >98% level of purity. The S519N20 peptide (SLEEEWAQVECEVYGRGCPS; SEQ ID NO: 17) and the S519C16 peptide (GSLDESFYDWFERQLG; SEQ ID NO: 18) were obtained from AusPep (Australia) at the >90% level of purity. The S519 peptide (SLEEEWAQVECEVYGRGCPSGSLDESFYDWFERQLG; SEQ ID NO: 16) was obtained from Activotec (UK) at the >85% purity. Peptides were prepared by dissolving in 10 mM HCl at ˜4 mg/ml concentration and then diluting with TBSA. Oxidation of peptides S519N20 and S519 (which contain two cysteine residues) was carried out by incubating the respective peptide (prepared at 1 mg/ml in 50 mM ammonium bicarbonate adjusted to pH 8.5 with ammonia solution) in the dark at room temperature for 2 days and then lyophilizing before use. Oxidation was complete as determined by analysis with Ellman's reagent (5,5′-dithiobis-2-nitrobenzoate). All protein concentrations were determined by absorbance measurement at 280 nm using a NanoDrop 1000 spectrophotometer (Thermo Scientific, USA).

Isothermal Titration Calorimetry

ITC experiments were performed using a VP-ITC isothermal titration calorimeter (MicroCal Inc., USA) with the calorimeter cell held at 25° C. All samples were degassed prior to injection or placement into the cell, and the instrument was temperature equilibrated prior to the start of the injections. In all experiments the volume of sample placed in the cell was 1.4 ml and the titrant was injected in 7 μl volumes over 14 s at 3 min intervals, with the total number of injections being 40. The sample contents were stirred at a speed of 310 rpm over the duration of the titration. All titrants ZFP-insulin, IGF-I, IR αCT peptide, IGF-1R αCT peptide, IR αCT.714A peptide, S519, S519N20, and S519C20) were first injected into a solution of TBSA alone in order ascertain the heat of dilution, which was then subtracted from the data of interest as appropriate. Data were analyzed using the instrument's software incorporated within the Origin 7 software (OriginLab, USA) and in all cases fitted as a single-site interaction using the methodologies outlined in the instrument's manual. All measurements showing quantifiable interaction were done in triplicate (in some cases at varying concentrations) and the resultant ITC-derived thermodynamic parameters averaged.

Dynamic Light Scattering (DLS)

DLS measurements were carried out using a Zetasizer NanoZS (Malvern Instruments Ltd, England). Samples of IR485 and IR485 in combination with IR αCT and/or ZFP-insulin at various concentrations were prepared in TBSA and equilibrated overnight at 4° C. Samples were spun at 13,000 g using a benchtop centrifuge to pellet any macroscopic particulates and then pipetted into a 45 μl glass cuvette held at 20° C. Data were analysed using the instrument's Dispersion Technology Software version 5.0.2 to yield a volume distribution for the scattering particles present in the solution. The results presented were representative of several sets of experiments.

1.3 Results from Thermodynamic Experiments

The Pairwise Interactions of 1R485, Hormones and αCT Peptides

ITC experiments investigated the pairwise interaction between selected combinations of IR485, ZFP-insulin, IGF-I, IR αCT peptide, IGF-1R αCT peptide and IR αCT.714A peptide. The results of the analyses are presented in Table 2. The mean dissociation constants (K_(d)) of the interaction between (i) IR αCT and IR485, (ii) IGF-1R αCT and IR 485, and (iii) IR αCT.714A and IR485 were determined to be 3.9±1.1 μM, 17.6±2.1 μM and 6.5±1.7 μM respectively. Representative ITC profiles for these measurements are presented in FIG. 2. The dissociation constant (K_(d)) for the interactions between (i) ZFP-insulin and the IR αCT peptide, (ii) IGF-I and the IGF-1R αCT peptide, (iii) ZFP-insulin and IR485 and (iv) IGF-I and IR485 was in all cases estimated to be weaker than 1 mM.

TABLE 2 ITC analysis of pairwise interactions of IR485, hormone and αCT peptides^(a). Sample [Sample] (μM) Titrant [Titrant] (μM) K_(d) (μM) ZFP- 20 IR-αCT 200 1000 insulin IGF-IR 20 IGF1R-αCT 200 1000 IR485 5 ZFP-insulin 50 1000 IR485 10 IGF-IR 100 1000 IR485 10 IR-αCT 60 3.9 ± 1.1 IR485 20 IGF1R-αCT 120-150^(b) 17.6 ± 2.1  IR485 10 IR-αCT.714A 60 6.5 ± 1.7 ^(a)K_(d) values are of the mean of three experiments with each set of experimental data being modeled as a single-site interaction between titrant and sample (see Materials and Methods). The error stated is the standard error of the mean. The relatively low value of the Wiseman parameter c coupled with the noise in the data precludes accurate determination of ΔH° (and hence of −TΔS°). ^(b)Ranges are quoted for sample or titrant concentration where these vary across the three measurements. The Interaction of Hormone with αCT Peptide Pre-Complexed IR485

ITC experiments investigated the interaction of ZFP-insulin and IGF-I with IR485 pre-complexed with a ten-fold molar-ratio of either IR αCT or IGF-1R αCT peptide. Given that the αCT peptides displayed micromolar affinity for IR485 (see above), it was calculated that, at the concentrations of IR485 and αCT peptide employed in this set of experiments, >90% of the IR485 molecules within the ITC cell were in complex with αCT peptide prior to injection of hormone. The results of the ITC investigations are presented in Table 3 with representative ITC curves being presented in FIG. 3. The dissociation constant of ZFP-insulin with respect to IR485 in the presence of a 10-fold molar ratio of IR αCT peptide was 17±4 nM and in the presence of a 10-fold molar ratio of IGF-1R αCT peptide was 5.7±1.1 nM. In contrast, the dissociation constant of IGF-I with respect to IR485 in the presence of a 10-fold excess of IR αCT peptide was 490±75 nM and in the presence of a 10-fold excess of IGF-1R αCT peptide was 22±3 nM, with no correction being made for the incomplete saturation of IR485 with peptide prior to injection. The thermodynamic parameters presented in Table 3 show that in all four cases the binding of hormone to αCT peptide pre-complexed IR485 is enthalpically driven.

TABLE 3 Isothermal titration of ZFP-insulin and IGF-IR against IR485 pre-mixed with a 10-fold molar ratio of either IR or IGF-IR αCT peptide^(a). [Sam- [Ti- ple] trant] K_(d) ΔH⁰ −TΔS⁰ Sample (μM) Titrant (μM) (nM) (kJ/mol) (kJ/mol) IR485 + 5 ZFP- 50 17 ± 4 −67 ± 1 22 ± 2 (10 × insulin IR-αCT) IR485 +  4-10^(b) ZFP- 32-60  5.7 ± 1.1 −97 ± 2 50 ± 2 (10 × insulin IGF1R- αCT) IR485 + 5-10 IGF-IR 50-80 490 ± 75 −89 ± 2 53 ± 2 (10 × IR-αCT) IR485 + 4-5  IGF-IR 40-50 22 ± 3 −101 ± 1  57 ± 1 (10 × IGF1R- αCT) ^(a)K_(d), ΔH⁰ and −TΔS⁰ values are of the mean of three experiments with each set of experimental data being modeled as a single-site interaction between titrant and sample (see Materials and Methods). The error stated is the standard error of the mean. ^(b)Ranges are quoted for sample or titrant concentration where these vary across the three measurements. The Interaction of Insulin Mimetic Peptides with IR485

ITC experiments investigated the interaction of the insulin mimetic peptides S519 (SEQ ID NO: 16), S519N20 (a Site 2 peptide, corresponding to the 20 N-terminal residues of 5519; SEQ ID NO: 17) and S519C16 (a Site 1 peptide, corresponding to the 16 C-terminal residues of S519; SEQ ID NO: 18) with IR485. The results are presented in Table 4, with representative ITC curves being presented in FIG. 4. S519 was found to bind IR485 with a dissociation constant of 11±3 nM, whilst S519C16 bound IR485 with somewhat higher affinity (K_(d)=2.6±0.7 nM). The binding of both S519 and S519C16 to IR485 appeared to be enthalpically driven. When IR485 was in the presence of a 10-fold molar ratio of IR αCT peptide, the dissociation constant of S519C16 increased to 16±6 nM. The dissociation constant for the interaction between S519N20 and IR485 was estimated to be weaker than 1 mM, with accurate determination of K_(d) precluded at the concentrations of reactants employed.

TABLE 4 Isothermal titration of insulin mimetics peptides S519, S519N20 and S519C16 against IR485^(a). [Sam- [Ti- ple] trant] K_(d) ΔH⁰ −TΔS⁰ Sample (μM) Titrant (μM) (nM) (kJ/mol) (kJ/mol) IR485 4.5-5^(b) S519 40-50 11 ± 3 −69 ± 6 24 ± 6 IR485 5 S519C16 50  2.6 ± 0.7 −61 ± 4 12 ± 4 IR485 +  3-5 S519C16 45-50 16 ± 6 −33 ± 2 −11 ± 3  (10 × IR-αCT) IR485 5 S519N20 50 1 mM ^((c)) ^(a)K_(d), ΔH⁰ and −TΔS⁰ values are of the mean of three experiments with each set of experimental data being modeled as a single-site interaction between titrant and sample (see Materials and Methods). The error stated is the standard error of the mean. ^(b)Ranges are quoted for sample or titrant concentration where these vary across the three measurements. ^((c)) The affinity of interaction of S519N20 with IR485 is too weak to allow meaningful calculation of either ΔH⁰ or −TΔS⁰.

The Multimeric State of 1R485 in the Presence of IR αCT Peptide

The DLS-determined volume distribution of IR485 at 6 mg/ml (a concentration at which IR485 is overwhelmingly dimeric (Lou et al., 2006) showed a single broad peak centred at a particle diameter of 9.7 nm (FIG. 5 a). The half-width of the peak was 3.1 nm and the assumption of a spherical particle lead to a calculated scattering particle molecular weight of 1,36 kDa, closely similar to the molecular weight of ˜140 kDa estimated by size-exclusion chromatography. Instrumental limitations precluded DLS measurement of IR485 at concentrations at which IR485 was known to be overwhelmingly monomeric (i.e. at <0.025 mg/ml, (Lou et al., 2006). However, at 0.5 mg/ml, the DLS-determined volume distribution of IR485 showed a single broad peak at a particle diameter of 8.2 nm (FIG. 5 b). The half-width of the peak was 2.2 nm and the assumption that the scattering arose from a single species of spherical scattering particle lead to a calculated molecular weight of 91 kDa, consistent with the solution being predominantly monomeric. Using this pair of observations as reference values, it was then observed that (i) an addition of a three-fold molar ratio of IR αCT peptide to a 6 mg/ml solution of IR485 resulted in a DLS-determined volume distribution which had a single peak centred at 8.6 nm (FIG. 5 c), and (ii) an addition of a three-fold molar ratio of IR αCT peptide together with a 2-fold molar ratio of ZFP-insulin to a 6 mg/ml solution of IR485 resulted in a volume distribution which had a single peak centred at −8.2 nm (FIG. 5 d). The half-width of these latter two peaks was 2.4 nm and the calculated molecular weights of the scattering particles (again assuming a single species of spherical scatterers) was 102 kDa and 92 kDa respectively. These data implied that addition of either (i) IR αCT peptide or (ii) IR αCT peptide plus ZFP-insulin to a 6 mg/ml solution of IR485 resulted in a change in its hydrodynamic diameter consistent with the construct undergoing a transition from being overwhelmingly dimeric in solution to predominantly monomeric in solution.

Example 2 Solving the crystal structure of the C-terminal region of the α-chain of IR 2.1 Introduction: Ambiguous Electron Density

As described previously (WO 07/147,213), an area of strand-like ambiguous electron density was present near the L1-β2 face of IR. However, despite numerous different processing and refinement protocols, the density was impossible to interpret in terms of any peptide sequence. The data described in Example 1 above implied a surprising and previously unexpected sequence relationship between the S519C16 peptide (SEQ ID NO: 18) and the ‘classical’ αCT peptide region (residues 704-719; SEQ ID NO: 11) described previously in the literature (Kurose et al., 1994). X-ray data obtained in WO 07/147,213 were revisited and further reviewed with the possibility then in mind that the ambiguous electron density near the L1-β2 face of IR could have been due to the ‘classical’ αCT peptide region of the IR α-chain.

2.2 Protein Production, Crystallisation and Data Collection from IR Ectodomain Crystals

Production of IR ectodomain protein, subsequent crystallization and data collection were performed as described previously (WO 07/147,213).

2.3 Diffraction Data Processing and Crystallographic Refinement

The diffraction images used were those used in the native structure determination of the human insulin receptor ectodomain homodimers (“Native 2” data set, see Table 3 of WO 07/147,213). The diffraction images were re-processed using XDS (version 10Sep 2008; Kabsch, 1993), including reflections to a maximum resolution of 3.8 Å. Diffraction data processing statistics from XDS are shown in Table 5. About a 1 Å difference in the longest cell dimension was observed as compared to analysis previously with the D*trek (Pflugrath, 1999) program.

The receptor ectodomain monomer complexed with Fab 83-7 and Fab 83-14 (Protein Data Bank entry 2DTG, with minor prior in house improvement) was subjected to individual domain rigid body crystallographic refinement against the XDS-processed diffraction data set using PHENIX v1.3b (Adams et al., 2002). A total of fourteen rigid body domains were defined for this purpose (i) chain E and residues 4-191, (ii) chain E and residues 192-311, (iii) chain E and residues 312-464, (iv) chain E and residues 465-594, (v) chain E and residues 595-817, (vi) chain E and residues 818-909, (vii) chain A and residues 1-112, (viii) chain B and residues 1-109, (ix) chain A and residues 113-220; (x) chain B and residues 110-219, (xi) chain C and residues-1-109, (xii) chain C and residues 110-207, (xiii) chain D and residues 1-106, (xiv) chain D and residues 107-214). Rigid body refinement was then followed by atomic coordinate refinement and finally by TLS (translation, libration and screw-rotation displacement) refinement, using default protocols within PHENIX. A σ_(A)-weighted 2F_(o)-F_(c) difference electron map was then calculated using structure factors whose amplitudes had been artificially inflated by the application of a B value (−153 Å²) equal to the negative of that determined by a Wilson plot (Brünger et al., 2009). The map was then visually inspected using 0 v12.0 (Jones, 2004). At this stage the segment of electron density previously discerned on the L1-β2 face of IR (WO 07/147,213) had a surprisingly clear helical conformation with sufficient variation in side chain electron density to suggest that sequence assignment was possible (see below). O was then used for all subsequent model building of the IR segment 693-710, with model building being iterated with crystallographic refinement within PHENIX. Final crystallographic refinement statistics are shown in Table 5.

2.4 Assigning Structure to the C-Terminal Region of the IR α-Chain

Following the refinement protocol detailed above, sequence assignment to the C-terminal region of the IR α-chain was possible and based on the following observations (i) the segment Glu698 to Tyr708 was the only region of the insert domain predicted to have helix-forming propensity (Ward and Lawrence, 2009), (ii) inspection of the density at the side-chain positions i, i+4 and i+7 showed that they likely arose from three large (most likely aromatic) residues, that these could in all likelihood be used to define the sequence register, and that the discerned helix would then span residues i-8 to i+9, (iii) the direction of the polypeptide chain within the helix was readily apparent from helical “tree” averaging of the difference electron density (Jones, 2004), and (iv) the only possible assignment of the sequence, to the i, i+4, i+7 all-aromatic motif of (ii) above was to associate these residues with Phe701, Phe705 and Tyr708, respectively.

TABLE 5 Data processing and crystallographic refinement statistics from IR ectodomain crystal IR IRΔβ data processed using XDS. Data processing Space group C222₁ Cell dimensions a, b, c (Å) 123.03, 318.65, 204.64 Resolution (Å) 30.64 (3.80)* R_(sym)  14.6 (198.9) I/σI 0.96 Completeness (%) 93.8 (93.4) Redundancy 5.47 (5.35) Refinement Resolution (Å) 30.64-3.80 No. reflections 39268 R_(work)/R_(free) 0.225/0.289 No. atoms Protein 13041 B-factors Protein (Å²) 180.68 R.m.s. deviations Bond lengths (Å) 0.011 Bond angles (°) 1.558 *Values in parentheses are for highest-resolution shell. Data were collected from a single crystal.

The observed helical region of density spanned IR residues 693 to 710 (SEQ ID NO: 13; FIG. 6). The direction of the polypeptide was consistent with having the inter-monomer disulphide bond-forming triplet Cys682/Cys683/Cys685 (Sparrow et al., 1997) in close proximity to the ectodomain two-fold axis (McKern et al., 2006). Subsequent model-building of insulin receptor residues 693-710 (SEQ ID NO: 13) into the difference electron density further supported the correctness of the sequence register assignment by virtue of the shape and electrostatic complementarity of the packing at the interface between L1 and the helical segment.

The side-chains of Phe701 and Phe705 pack adjacent to each other into a hydrophobic pocket formed by the side-chains of the L1 residues Phe64, Phe88, Phe96, Tyr91 and Arg 118 (FIG. 6 b). The side-chain of Tyr708 is packed approximately parallel to the surface and interacts with the L1 residues Leu62, Gln34 and Phe64. The side-chains of the residue pair Glu698 and Arg702 lie in close proximity and are juxtaposed against the side chains of the L1 residue pair Arg118 and Asp 120 respectively, the four side chains forming a symmetric charge-compensating cluster. The final interaction between the helix and the surface of the central b-sheet of L1 arises from an interaction between the side chain of Leu709 with the side chains of the L1 residues Leu37 and Phe64. On the opposite surface of the helix side chains of the residue pair Lys703 and Asp707 are in proximity to each other and also likely charge compensate. Further crystallographic refinement of the (IR+Fab 83-7+Fab 83-14) structure, now inclusive of IR residues 693-710, lead to a reduction of 0.5% in the free R-factor. The shape complementarity (Lawrence and Colman, 1993) of the interfke between the insulin receptor residues 693-710 and the L 1 domain of the receptor, computed after crystallographic refinement, is high (0.72). Taken together, these results gave overwhelming support to the correctness of the assignment of sequence to the helical density segment.

The structure provided herein (Appendix I) enables, for the first time, a view of the intact low affinity insulin receptor binding site that includes the critically-important C-terminal region of the receptor α-chain (SEQ ID NO: 13). The atomic coordinates of IR+Fab 83-7+Fab 83-14 inclusive of the helical segment are now included in Appendix I and are depicted in FIG. 6. The modelled helical segment of the IR α-chain (residues 693-710, herein termed. ‘the C-terminal region of the α-chain of IR’; LKELEESSFRKTFEDYLH; SEQ ID NO: 13) surprisingly encompasses residues N-terminal of the “classical” αCT peptide of IR (residues 704-719; TFEDYLHNVVFVPRPS; SEQ ID NO: 11) described previously in the literature (Kurose et al., 1994; FIG. 6 c). The original demarcation of this segment arose from a tryptic digest aimed at isolating receptor segments that were experimentally cross-linked to bound insulin. Tryptic cleavage at Lys703 resulted in the isolation of the segment 704-719 crosslinked to insulin. The involvement of residues immediately N-terminal of 704 in both the formation of the low affinity insulin binding site and in attachment of α-chain C-terminus to the first three domains of the receptor had not been contemplated previously.

Example 3 Molecular modelling 3.1 Introduction

There is a high level of sequence identity between, on the one hand, the L1 domains of IGF-1R and IR, and, on the other hand, between the C-terminal regions of the α-chain of IGF-1R and IR (FIG. 1 and FIG. 6 c). Accordingly, models of IR in complex with S519C16 and the IGF-1R α-chain residues 681-697, respectively, were constructed using the MODELLER program (SalI and Blundell, 1993) with the crystallographic structure of IR ectodomain presented in the main text as a template. Models of theectodomain of IGF-1R in complex, respectively, with the IGF-1R α-chain residues 681-697 (SEQ ID NO: 15), S519C16 (SEQ ID NO: 18) and the IR α-chain residues 693-710 (SEQ ID NO: 13) were constructed employing the crystal structure of the first three domains of IGF-1R (Garrett et al., 1998), the structure of the IR ectodomain presented here and the known sequence relationship between IR and IGF-1R (Adams et al., 2000).

3.2 Materials and Methods for Modelling

Twenty-five instances of each model were prepared and the structure with lowest DOPE score (Eramian et al., 2006) selected for further molecular dynamics (MD) simulation. The L1-domains of IR and IGF-1R, residues Pro4-Gln189 and residues Glu1-Gln189, respectively, in complex with the various peptides were excised from the full-length models prepared by MODELLER for use in the MD calculations. MD simulations were performed using the GROMACS v4.0 suite (van der Spoel et al., 2005) with the OPLS-aa force field (Jorgensen and Tirado-Rives, 1988). The proteins were solvated in a box of water and the total charge of the system neutralized by replacing water molecules with sodium ions. The LINCS algorithm was used to constrain bond lengths (Hess et al., 1977). Protein and solvent (including ions) were coupled separately to a thermal bath at 300 K using velocity resealing (Bussi et al., 2007) applied with a coupling time of 0.1 ps. All simulations were performed with a single non-bonded cutoff of 10 Å, applying a neighbour-list update frequency of 10 steps (20 fs). The particle mesh Ewald method was applied to deal with long-range electrostatics with a grid width of 1.2 Å and fourth-order spline interpolation. All simulations consisted of an initial minimization to remove close contacts, followed by 100 ps of positional restrained MD to equilibrate the water molecules with the protein fixed. The time step used in all the simulations was 2 fs. MD simulations for each system were run for a total length of 2.0 ns.

3.3 Molecular Models

The following models were created using MODELLERand subjected to MD simulations as described above:

the C-terminal region of IR α-chain (SEQ ID NO: 13) bound to the L1 domain of IGF-1R (Appendix II; FIG. 7),

the C-terminal region of IGF-1R α-chain (SEQ ID NO: 15) bound to the L1 domain of IR (Appendix III; FIG. 8),

the C-terminal region of IGF-1R α-chain (SEQ ID NO: 15) bound to the L1 domain of IGF-1R (Appendix IV; FIG. 9),

S519C16 mimetic peptide (SEQ ID NO: 18) bound to the L 1 domain of IR (Appendix V; FIG. 10), and

S519C16 mimetic peptide (SEQ ID NO: 18) bound to the L1 domain of IGF-1R (Appendix VI; FIG. 11).

The above models are presented schematically in FIGS. 7 to 11, with coordinates in Appendixes II to VI, respectively. These models define a common binding surface on IR and IGF-1R capable of binding the C-terminal region of the α-chain of the receptors. The following interactions were observed:

(i) IGF-1R/IR α-Chain Residues 693-710 (FIG. 7):

This interaction is characterized by several polar and ionic interactions—Y83 of the receptor hydrogen bonds the hydroxyl side-chains of S700 and T704 of the ligand, and E698 and R702 of the ligand form salt bridges with R112 and E114 of the receptor, respectively. Hydrophobic residues on the ligand pack into a hydrophobic pocket on the receptor formed by in part by L32, L33, L56, F58, F82, Y83, Y85, V88 and F90.

(ii) IR/IGF-1R α-Chain Residues 681-697 (FIG. 8):

The complex between IR and the IGF-1R α-chain (residues 681-697) consists of charged interactions between R118 and E120 of IR, and E685 and Y688 of the peptide, respectively—the latter of these interactions can be mediated by a water molecule. There are a large number of hydrophobic residues on IR that contact the peptide, formed in part by L36, L37, L62, F64, F88, F89, Y91, V94 and F96.

(iii) IGF-1R/IGF-1R α-Chain Residues 681-697 (FIG. 9):

This interaction is characterized by a salt bridge between R112 of the receptor and E685 of the peptide. Additionally, the hydroxy group on the side-chain of Y688 in hydrogen bonded to a water molecule (not shown) that is itself hydrogen bonded to E114 of the receptor. The hydrophobic resides Y688, F 192, F 195 and L196 pack into the hydrophobic pocket on the surface of the receptor formed in part by the side-chains of L32, L56, F58, F82, Y83, Y85, V88 and F90.

(iv) IR/S519C16 (FIG. 10):

Throughout the MD simulation of the complex between IR (L1 domain) and the S519C16 peptide several hydrogen-bond interactions are observed—between R119 of IR and D4 of the peptide, between E120 of IR and Y8 of the peptide, and between Q14 of the peptide with both residues R14 and Q34 ofIR. The interaction between receptor and peptide involves the aromatic side-chains of several residues—F7 and F11 of the peptide bind a pocket on the surface of IR flanked by the residues L62, F64, F88, F89, Y91 and F96. Additionally, L15 of the peptide packs against the hydrophobic side-chains of L37 and F64.

(v) Igf-1R/S519C16 (FIG. 11):

D4 and Y8 of the peptide hydrogen bonds R112 and E114 of the receptor, respectively. The aromatic side-chains of F7 and F 11 of the peptide bind the hydrophobic pocket on the receptor formed by L56, F58, F82, Y83, V88 and F90. WI 0 of the peptide can conceivably contact the hydrophobic side-chains of L32 and F82, increasing its affinity.

The models presented herein can now be used to improve the insulin mimetic peptides developed by Schäffer and co-workers (Schäffer et al., 2003). Isothermal titration calorimetry experiments (see Example 1 above) indicated that a prototypical Site 1 mimetic peptide S519C16 competes with the IR C-terminal peptide 704-719 in binding to a construct consisting of the first three domains of the insulin receptor. The two major residues involved in the interaction between the C-terminal segment of the insulin receptor α-chain and the L 1 domain (viz. Phe701 and Phe705) are conserved in S519C16 (FIG. 3). Of the remaining residues involved in the interaction between the C-terminus of the α-chain and L1, Tyr708 is replaced with an asparagine residue in S519C16, Glu698 is either conserved or replaced by an aspartate residue, Arg702 is replaCed by a tyrosine residue and Leu709 is conserved. The two phenylalanine residues form part of the motif FYXWF (SEQ ID NO: 19) that characterizes the Site 1 mimetic peptides (Schäffer et al., 2003). Modelling undertaken with MODELLER and subsequent MD showed that it is possible to dock the S519C16 peptide onto the L1 surfaces of IR and IGF-1R in a way analogous to the docking of cognate peptides (see FIGS. 6-11).

Example 4 Binding of Mutant αCT Peptides to an Insulin Mini-Receptor (1R485 Construct) 4.1 Introduction

Insulin-mimetic peptides have been discovered by phage display technology and classified as “Site” 1, 2 or 3 on the basis of competition of binding to insulin receptor (Pillutla et al., 2002). The affinity-matured Site 1 peptides are characterized by a FYXWF motif (SEQ ID NO: 19) (Pillutla et al., 2002); selected Site 1 and 2 peptides have been covalently tethered to yield agonists with up to picomolar affinity for insulin receptor (Schaffer et al., 2003). A sequence relationship has been shown (see FIG. 6 c) between the αCT region and the prototypic Site 1 mimetic peptide that places the αCT region residues Phe701 and Phe705 in respective alignment with the two flanking phenylalanine residues in the FYXWF motif This relationship was used to explain the competitive binding of the αCT peptide and the prototypic Site 1 mimetic peptide to the insulin mini-receptor IR485, a construct which consists of the receptor L1-CR-L2 domains only. If this relationship was correct, then mutation of Arg702 and/or Thr704 within the αCT segment to either tyrosine or tryptophan would lead to significantly higher affinity of the segment for the insulin mini-receptor. It would also then be possible to model these substitutions directly onto the structure reported here. These hypotheses were tested as follows.

4.2 Materials and Methods for Thermodynamic Experiments

Biotinylated αCT peptides at >75% purity spanning residues 698-719 of the insulin receptor were obtained from Genscript Inc. (USA). The insulin mini-receptor IR485 construct was produced and purified as previously described (Lou et al., 2006), omitting the final ion-exchange chromatography step. Isothermal titration calorimetry (ITC) experiments were performed using a VP-ITC isothermal titration calorimeter (MicroCal Inc., USA) with the calorimeter cell held at about 25° C. The ITC cell contained insulin mini-receptor IR485 prepared at about 10 μM concentration in Tris-buffered saline plus azide (TBSA; about 24.8 mM Tris-HCl (pH 8.0), 137 mM NaCl, 2.7 mM KCl, and 0.02% sodium azide), and the syringe contained the peptide prepared at about 60 μM concentration in TBSA. All samples were degassed prior to injection or placement into the cell, and the instrument was temperature equilibrated prior to the start of the injections.

In all experiments the volume of the insulin mini-receptor IR485 sample placed in the cell was about 1.4 ml and the titrant was injected in about 7 μl volumes over 14 s at 3 min intervals, with the total number of injections being 40. The sample contents were stirred at a speed of about 310 rpm over the duration of the titration. All titrants were first injected into a solution of TBSA alone in order ascertain the heat of dilution, which was then subtracted from the data of interest as appropriate. Each experiment was performed three times, except for that employing the native peptide, which was performed twice. Data were analyzed using the instrument's software incorporated within the Origin 7 software (OriginLab, USA) and in all cases fitted as a single-site interaction using the methodologies outlined in the instrument's manual.

4.3 Results from Thermodynamic Experiments

Sample individual titration curves are provided in FIG. 12. Table 6 below presents ITC-derived dissociation constants and thermodynamic parameters for a set of mutant αCT peptides titrated against the insulin mini-receptor IR485.

TABLE 6 Derived thermodynamic parameters for the titration against IR485 of the N-terminally biotinylated IR peptide 698-719 containing the following respective mutations: wild-type, T704Y, R702W, R702Y, T704W and R702Y/T704W. Titrant K_(d) peptide ΔH° TΔS° ΔG° peptide* (nM) (kJ mol⁻¹) (kJ mol⁻¹) (kJ mol⁻¹) wt  1340 ± 230^(†) −48 ± 1 −14 ± 1 −33.5 ± 0.4 T704Y  740 ± 210 −46 ± 9 −11 ± 9   −35 ± 0.7 R702W 309 ± 36 −35 ± 5  −3 ± 5 −37.2 ± 0.3 R702Y 249 ± 3  −50 ± 3 −12 ± 2 −37.67 ± 0.03 T704W 201 ± 16 −26 ± 2  11 ± 2 −38.2 ± 0.2 R702Y/T704W 18 ± 3 −49 ± 2  −5 ± 2 −44.2 ± 0.4 *αCT peptides span residues 698-719 and have a biotin moiety attached at the N-terminus. ^(†)Error estimates are the standard error of the mean.

Progressive inclusion of aromatic residues at positions 702 and 704 is seen to result in an up to 100-fold increase in affinity, supporting the view that there is a structural relationship between the Site-1 mimetic peptides and the native αCT segment. The docking of the single- and double-mutant αCT peptides to the surface of the L1 domain was investigated by molecular dynamics simulation using the GROMACS v4.0 suite (van der Spoel et al., 2005) with the OPLS-aa force field (Jorgensen et al., 1988) and revealed that the aromatic side chains of mutant αCT residues Trp702 and Tyr704 are likely to interact with the surface of the L 1 domain and enhance the affinity of the interaction. At position 702 the aromatic side chain is docked into a pocket formed by the Phe96 and the alkyl portion of L1 side-chain Lys 121; the hydroxyl group of a variant tyrosine residue can in addition form a hydrogen bond with the Lys121ε-amino group. At position 704 the aromatic side chain of the variants is docked against L1 side chains Phe88 and Phe89.

It will be appreciated by persons skilled in the art that numerous variations and/or modifications may be made to the invention as shown in the specific embodiments without departing from the spirit or scope of the invention as broadly described. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive.

This application claims priority from U.S. 61/214,472 filed 22 Apr. 2009, the entire contents of which are incorporated herein by, reference.

All publications discussed and/or referenced herein are incorporated herein in their entirety.

Any discussion of documents, acts, materials, devices, articles or the like which has been included in the present specification is solely for the purpose of providing a context for the present invention. It is not to be taken as an admission that any or all of these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention as it existed before the priority date of each claim of this application.

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LENGTHY TABLES The patent application contains a lengthy table section. A copy of the table is available in electronic form from the USPTO web site (http://seqdata.uspto.gov/?pageRequest=docDetail&DocID=US20140154817A1). An electronic copy of the table will also be available from the USPTO upon request and payment of the fee set forth in 37 CFR 1.19(b)(3). 

1. A computer-assisted method of identifying, designing or screening for a compound that can potentially interacts with insulin-like growth factor-1 receptor (IGF-1R), which method comprises (a) fitting the structure of a candidate compound to the structure of the low affinity insulin binding site of the IGF-1R, the structure having atomic coordinates shown in of one or more of Appendixes II IV, and VI, or a subset of atomic coordinates at least representing the C-terminal region of the α-chain of IGF-1R; and (b) detecting compounds having an energetically favoured interaction with a structure defined by the atomic coordinates of amino acids 681-697 of the IGF-1R α-chain (SEQ ID NO: 15), or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, wherein the mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R is S519C16 (SEQ ID NO: 18).
 2. (canceled)
 3. The method according to claim 1, further comprising synthesising or obtaining an identified or designed candidate compound and determining the ability of the candidate compound to interact with IGF-1R.
 4. The method according to claim 1, wherein the atomic coordinates of step (a) define one or more regions of the low affinity binding site of IGF-1R for IGF comprising the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, wherein the mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R is S519C16 (SEQ ID NO: 18). 5-12. (canceled)
 13. The method according to claim 1, wherein the atomic coordinates of step (a) defining the low affinity IGF binding site of IGF-1R further comprise the L1 domain and/or the CR domain of IGF-1R ectodomain.
 14. The method according to claim 13, wherein the atomic coordinates of step (a) define the central β-sheet of the L1 domain, and/or that part of the second LRR containing Ser35, and/or the loop in the fourth LRR rung of the L1 domain.
 15. The method according to claim 13, wherein the atomic coordinates of step (a) define module 6 of the CR domain of IGF-1R. 16-17. (canceled)
 18. The method according to claim 3, wherein the candidate compound for interacting with IGF-1R is chemically modified as a result of structure-based evaluation.
 19. The method according to claim 18, wherein the chemical modification is designed to either: (i) reduce the potential for the candidate compound to bind to IR whilst maintaining binding to IGF-1R; or (ii) reduce the potential for the candidate compound to bind to IGF-1R, whilst maintaining binding to IR. 20-26. (canceled)
 27. A computer-assisted method of identifying a compound that potentially interacts with IR and/or IGF-1R, which method comprises fitting the structure of: (i) the low affinity insulin binding site of IR, the structure being defined by the atomic coordinates shown in one or more of Appendixes I, III and V; (ii) the low affinity IGF binding site of IGF-1R, the structure being defined by the atomic coordinates shown in one or more of Appendixes II, IV and VI; and/or (iii) the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, the structure being defined by a subset of atomic coordinates shown in one or more of Appendixes I to VI, to the structure of a candidate compound. 28-29. (canceled)
 30. A method for evaluating the ability of a compound to interact with IR and/or IGF-1R, the method comprising the steps of: (a) employing computational means to perform a fitting operation between the compound and the binding surface of a computer model of the low affinity binding site for insulin on IR ectodomain, and/or the low affinity binding site for IGF on IGF-1R ectodomain, using atomic coordinates wherein the root mean square deviation between the atomic coordinates and atomic coordinates of one or more of Appendixes I to VI or a subset of atomic coordinates of one or more thereof at least representing the C-terminal region of the α-chain of IR, the C-terminal region of the α-chain of IGF-1R, or a mimetic of the C-terminal region of the α-chain of IR and/or IGF-1R, is not more than 1.5 Å; and (b) analysing the results of the fitting operation to quantify the association between the compound and the binding surface model. 31-40. (canceled) 